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188 results on '"reseau_international"'

1. Data Consistency Conditions for Cone-Beam Projections on a Circular Trajectory

Author

Jerome Lesaint, Laurent Desbat, Simon Rit, Rolf Clackdoyle, Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Parallel projection, Geometry, Trigonometric polynomial, 01 natural sciences, Labex PRIMES, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Projection (mathematics), 0103 physical sciences, categₛt2i, Imagerie tomographique et thérapie par rayonnement, Electrical and Electronic Engineering, Trajectory (fluid mechanics), ComputingMilieux_MISCELLANEOUS, Mathematics, Generalized function, 010308 nuclear & particles physics, Plane (geometry), Applied Mathematics, Mathematical analysis, Function (mathematics), reseau_international, Signal Processing, Gravitational singularity
Abstract

The well-known Helgason–Ludwig data consistency conditions (DCCs) for parallel projections of a two-dimensional function take the form of homogeneous polynomials in $\cos \phi$ and $\sin \phi$ , where $\phi$ is the angle of the parallel projection. In this note, we establish necessary DCCs for cone-beam (CB) projections of a three-dimensional function taken along a circular trajectory. Our DCCs take the form of homogeneous polynomials in $\cos \lambda$ and $\sin \lambda$ , where $\lambda$ is the angular position of the CB projection. This trigonometric polynomial format for the DCCs is particularly convenient for medical imaging applications, and these new DCCs for the standard CB geometry will potentially lead to new DCC applications in X-ray computed tomography (CT) and pinhole single photon emission computed tomography (SPECT) where CB projections are measured. If, as is usually the case, the object intersects the trajectory plane, then singularities appear in the DCC formulas. We describe how to interpret and handle these singularities as generalized functions. Numerical simulations are provided for illustration.

Published
2016

2. Binary tomography reconstruction from few projections with Total Variation regularization for bone microstructure studies

Author

Lihui Wang, Françoise Peyrin, Simon Rit, Bruno Sixou, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and European Synchrotron Radiation Facility (ESRF)

Subjects
Mathematical optimization, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Regularization (mathematics), Bone and Bones, Labex PRIMES, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Image Processing, Computer-Assisted, categₛt2i, 0202 electrical engineering, electronic engineering, information engineering, Humans, Computer Simulation, Imagerie tomographique et thérapie par rayonnement, Radiology, Nuclear Medicine and imaging, Electrical and Electronic Engineering, Instrumentation, Radiation, inverse problems, Small number, Binary image, X-ray imaging, Regular polygon, Inverse problem, Total variation denoising, Condensed Matter Physics, reseau_international, 020201 artificial intelligence & image processing, Minification, Tomography, X-Ray Computed, discrete tomography, Discrete tomography, Algorithm, Algorithms
Abstract

International audience; Discrete tomography refers to a class of reconstruction methods adapted to discrete-valued images. Many different approaches have been investigated to address the binary case, when a two-phase object is considered. This reconstruction problem is very important in medical or material applications where it is crucial to reduce the number of projections. In this paper, we address the problem of binary image reconstruction for X-ray CT imaging from a small number of projections. We propose a TV (Total Variation) regularization approach and compare the results obtained with or without an additional box convex constraint. The schemes are applied to a simple disk image and to more complex bone cross-sections for various noise levels. The minimization of the regularization functional is performed with the state-of-the-art ADMM (Alternate Direction Minimization Method) algorithm. The methods perform equally well on a simple disk image. The additional box convex constraints improves the reconstruction results for complex structures with fine details.

Published
2016

3. Quantification of Multispectral Photoacoustic Images: Unsupervised Unmixing Methods Comparison

Author

Didier Vray, Francois Varray, Aneline Dolet, Thomas Grenier, Rita Ammanouil, Cédric Richard, Piero Tortoli, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Information Engineering [Firenze], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Unité de Technologies Chimiques et Biologiques pour la Santé (UTCBS - UM 4 (UMR 8258 / U1022)), Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Department of Electronics and Telecommunications [Florence] (DET), Università degli Studi di Firenze [Firenze], and Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Ecole Nationale Supérieure de Chimie de Paris- Chimie ParisTech-PSL (ENSCP)

Subjects
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, business.industry, Labex CELYA, Physics::Medical Physics, Multispectral image, Photoacoustic imaging in biomedicine, Pattern recognition, Laser, Group lasso, Vertex component analysis, Imaging phantom, law.invention, reseau_international, Imagerie Ultrasonore, Wavelength, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Method comparison, law, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

Multispectral photoacoustic imaging is a functional modality based on the detection of ultrasound waves coming from tissues illuminated by laser pulses at different wavelengths. The specific photoacoustic behavior of different media for each illuminating wavelength allows their quantification which is of great interest for various medical applications. The quantification algorithm performances are related to the correct estimation of reference spectra for each medium to quantify. This study aims at comparing three different unsupervised methods to extract these reference spectra (Group Lasso with Unit sum and Positivity constraints, Vertex Component Analysis and Spatio-Spectral Mean-Shift). After the reference extraction, a supervised unmixing method called Fully Constrained Least-Square is used to estimate the medium concentrations. Using Vevo LAZR as acquisition system, the quantification performances are evaluated on a colored 4% agar phantom containing two pure media and a mix of both. The results highlight the suitability of the Spatio-Spectral Mean-Shift to extract reference spectra that allow the assessment of photoacoustic for dataset medium concentration.

Published
2018

4. Experimental fluence-modulated proton computed tomography by pencil beam scanning

Author

George Dedes, Guillaume Landry, Willemijn M. A. Pols, Katia Parodi, Mark Pankuch, Simon Rit, R. P. Johnson, Reinhard W. Schulte, Nick Detrich, Physical Faculty, Ludwigs-Maximilians-Universität Munich, Department of Physics, University of California [Santa Cruz] (UCSC), University of California-University of California, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Materials science, range uncertainty, Image quality, Oncology and Carcinogenesis, Biomedical Engineering, Radiation Dosage, Fluence, Phantoms, Imaging phantom, Imaging, 030218 nuclear medicine & medical imaging, Labex PRIMES, 03 medical and health sciences, 0302 clinical medicine, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, proton therapy, categₛt2i, Computer Simulation, Imagerie tomographique et thérapie par rayonnement, image guidance, proton CT, Pencil-beam scanning, Proton therapy, Tomography, business.industry, Phantoms, Imaging, pencil beam scanning, General Medicine, Equipment Design, 3. Good health, Pencil (optics), Other Physical Sciences, Nuclear Medicine & Medical Imaging, Full width at half maximum, reseau_international, 030220 oncology & carcinogenesis, fluence modulation, Calibration, Protons, business, Monte Carlo Method, Beam (structure)
Abstract

Author(s): Dedes, George; Johnson, Robert P; Pankuch, Mark; Detrich, Nick; Pols, Willemijn MA; Rit, Simon; Schulte, Reinhard W; Parodi, Katia; Landry, Guillaume | Abstract: PurposeThis experimental study is aimed at demonstrating, using a simple cylindrical water phantom, the feasibility of fluence-modulated proton computed tomography (FMpCT) by pencil beam scanning (PBS) proton computed tomography (pCT).MethodsThe phase II pCT prototype of the Loma Linda U. and U. C. Santa Cruz was operated using the PBS beam line of the Northwestern Medicine Chicago Proton Center. A 20 × 10 grid of 1.37 cm full width half maximum pencil beams (PB) equally spaced by 1 cm was used to acquire 45 projections in step and shoot mode. The PB pattern's fluence was modified to allow FMpCT scans with fluence modulation factors (FMF) of 50% and 20%. A central FMpCT region of interest (FMpCT-ROI) was used to define a high image quality region. Reconstructed images were evaluated in terms of relative stopping power (RSP) accuracy and noise using annular ROIs. The FMpCT dose savings were estimated by Monte Carlo (MC) simulation of the pCT acquisitions using beam phase space distributions. PBS pCT results with homogeneous fluence were additionally compared to broad beam results in terms of RSP accuracy and noise.ResultsPBS pCT scans with acceptable pileup were possible, and images were comparable to previously acquired broad beam pCT images in terms of both noise and accuracy. In the FMpCT-ROI, the noise and accuracy from full fluence (FF) scans were preserved. Dose savings of up to 60% were achieved at the object's edge when using FMF of 20%.ConclusionIn this study, we have demonstrated that PBS pCT scans can achieve equivalent accuracy as those obtained from broad beams. The feasibility of FMpCT scans was demonstrated; image accuracy and noise were successfully preserved in the central FMpCT-ROI chosen for this study, and dose reduction of up to 60% at the object's edge was realized.

Published
2018

5. An open real-time photoacoustic imaging scanner

Author

Alessandro Dallai, Enrico Boni, Alessandro Ramalli, Didier Vray, Francois Varray, Piero Tortoli, Aneline Dolet, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Information Engineering [Firenze], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Information Engineering (DINFO), and Department of Electronics and Telecommunications [Florence] (DET)

Subjects
Scanner, business.industry, Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Ultrasound, Labex CELYA, Photoacoustic imaging in biomedicine, Acoustic wave, Laser, Imaging phantom, law.invention, real-time imaging, photoacoustic imaging, passive mode, Wavelength, Imagerie Ultrasonore, reseau_international, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, law, Region of interest, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

© 2018 IEEE. Photo acoustic imaging is a functional technique based on the detection of acoustic waves originated from tissues excited by an optical source (laser pulses). When different laser wavelengths are used., this modality allows the discrimination of different media., which is promising for various medical applications. The acquisition system must show two main capabilities: 1)the real-time imaging of the region of interest and 2)the access to raw data to test reconstruction and processing methods under development. However., today's systems provide only one of these two requirements. Therefore., this study presents the development of a 2D hybrid ultrasound/photoacoustic real-time mode., based on the ultrasound open scanner ULA-OP256., which allows the access to raw data. The system validation was done on a 4% agar phantom containing two graphite mines illuminated by a pulsed laser at 1064 nm. The test highlights the correct synchronization of the optical illumination with the photo acoustic acquisition., as well as the accurate display of photoacoustic and ultrasound images. Print on Demand (PoD) ISBN: 978-1-5386-3426-4 ispartof: IEEE International Ultrasonics Symposium, IUS vol:2018-October ispartof: 2018 IEEE International Ultrasonics Symposium (IUS) location:Kobe, Japan date:22 Oct - 25 Oct 2018 status: Published online

Published
2018

6. Tissue Characterization on Ultrasound Harmonic Signals using Nakagami Statistics

Author

Anca Cristea, Fanglue Lin, Olivier Basset, Christian Cachard, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Acoustics, Labex CELYA, Physics and Astronomy(all), 01 natural sciences, Signal, Tissue Characterization, 010309 optics, 0103 physical sciences, Statistics, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 010301 acoustics, ComputingMilieux_MISCELLANEOUS, Physics, business.industry, Ultrasound, Nakagami distribution, Nakagami Statistics, Tissue characterization, Quantitative ultrasound, Imagerie Ultrasonore, reseau_international, Nonlinear system, Distribution (mathematics), Harmonic, business, Ultrasound Harmonic Signals
Abstract

Quantitative ultrasound (QUS) imaging provides a way to characterize biological tissue. The QUS estimates can be obtained from the envelope statistics. Previous studies are mainly based on the whole backscattered signals analysis. However, the ultrasound propagation is a nonlinear process and the harmonic signals can therefore reveal the nonlinear nature of a biological medium. The present study investigates the statistics of harmonic signal envelopes to relate the distribution parameters to the nonlinear coefficients. The main results demonstrate that the distributions exhibit a different behavior for fundamental and harmonic signals and that media with different nonlinearities can be distinguished, when using Nakagami statistics on the harmonic signal envelopes.

Published
2015
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7. Exploration of the Second Harmonic Signal for Vector Doppler Imaging: a Simulation Study

Author

Mourad DRIDI, Varray, F., Kraiem, T., Cachard, C., Department of Chemistry, Northwestern University [Evanston], Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Imagerie Ultrasonore, reseau_international, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Labex CELYA, reseauₐucun, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2017

8. Experimental evaluation of spectral-based quantitative ultrasound imaging using plane wave compounding

Author

Herve Liebgott, Olivier Basset, Roberto Lavarello, Didier Vray, Sebastien Salles, Christian Cachard, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Beamforming, Materials science, Acoustics and Ultrasonics, Labex CELYA, Plane wave, Field of view, Imaging phantom, Labex PRIMES, symbols.namesake, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, categₛt2i, Electrical and Electronic Engineering, Center frequency, Instrumentation, Image resolution, ComputingMilieux_MISCELLANEOUS, business.industry, Imagerie Ultrasonore, reseau_international, Pérou, symbols, business, Focus (optics), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Doppler effect
Abstract

Quantitative ultrasound (QUS) based on backscatter coefficient (BSC) estimation has shown potential for tissue characterization. Beamforming using plane wave compounding has advantages for echographic, Doppler, and elastographic imaging; however, to date, plane wave compounding has not been experimentally evaluated for the purpose of BSC estimation. In this study, two BSC-derived parameters (i.e., the BSC midband fit and intercept) were estimated from experimental data obtained using compound plane wave beamforming. For comparison, QUS parameters were also estimated from data obtained using both fixed focus and dynamic receive beamforming. An ultrasound imaging system equipped with a 9-MHz center frequency, 64-element array was used to collect data up to a depth of 45 mm. Two gelatin phantoms with randomly distributed 20-μm inclusions with a homogeneous scatterer concentration and a two-region scatterer concentration were used for assessing the precision and lateral resolution of QUS imaging, respectively. The use of plane wave compounding resulted in accurate QUS estimation (i.e., bias in the BSC parameters of less than 2 dB) and relatively constant lateral resolution (i.e., BSC midband fit 10% to 90% rise distance ranging between 1.0 and 1.5 mm) throughout a 45 mm field of view. Although both fixed focus and dynamic receive beamforming provided the same performance around the focal depth, the reduction in SNR away from the focus resulted in a reduced field of view in the homogeneous phantom (i.e., only 28 mm). The lateral resolution also degraded away from the focus, with up to a 2-fold and 10-fold increase in the rise distance at 20 mm beyond the focal depth for dynamic receive and fixed focus beamforming, respectively. These results suggest that plane wave compounding has the potential to improve the performance of spectral-based quantitative ultrasound over other conventional beamforming strategies.

Published
2014

9. 4D and motion-compensated cone-beam CT

Author

Simon Rit, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
reseau_international, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, categₛt2i, Imagerie tomographique et thérapie par rayonnement, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2016

10. Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating

Author

Jianhua Luo, Dong Liang, Shanshan Wang, Kun Yang, Yuemin Zhu, Qiegen Liu, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Iterative method, Image processing, Iterative reconstruction, Imagerie Coeur - Vaisseaux - Poumons, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image Processing, Computer-Assisted, Humans, categ_mixte, Computer Simulation, Computer vision, Least-Squares Analysis, Electrical and Electronic Engineering, Mathematics, Lumbar Vertebrae, Radiological and Ultrasound Technology, Phantoms, Imaging, Augmented Lagrangian method, business.industry, Brain, Sparse approximation, Inverse problem, Magnetic Resonance Imaging, Computer Science Applications, reseau_international, Bregman method, Circle of Willis, Artificial intelligence, business, Neural coding, Algorithm, Algorithms, Software
Abstract

In recent years Bregman iterative method (or related augmented Lagrangian method) has shown to be an efficient optimization technique for various inverse problems. In this paper, we propose a two-level Bregman Method with dictionary updating for highly undersampled magnetic resonance (MR) image reconstruction. The outer-level Bregman iterative procedure enforces the sampled k-space data constraints, while the inner-level Bregman method devotes to updating dictionary and sparse representation of small overlapping image patches, emphasizing local structure adaptively. Modified sparse coding stage and simple dictionary updating stage applied in the inner minimization make the whole algorithm converge in a relatively small number of iterations, and enable accurate MR image reconstruction from highly undersampled k-space data. Experimental results on both simulated MR images and real MR data consistently demonstrate that the proposed algorithm can efficiently reconstruct MR images and present advantages over the current state-of-the-art reconstruction approach.

Published
2013

11. Estimation of arterial wall motion using ultrafast imaging and transverse oscillations: in vivo study

Author

Anne Long, Sebastien Salles, Vincent Perrot, Herve Liebgott, Lorena Petrusca, Didier Vray, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3 - Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 5 - RMN et optique : De la mesure aux biomarqueurs, Department of Circulation and Medical Imaging [Trondheim] (ISB NTNU), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), RMN et optique : De la mesure au biomarqueur, Rayet, Béatrice, Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Labex CELYA, Rigidity (psychology), [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 030204 cardiovascular system & hematology, 01 natural sciences, Labex PRIMES, 03 medical and health sciences, Acceleration, 0302 clinical medicine, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, In vivo, Motion estimation, 0103 physical sciences, Perpendicular, 010301 acoustics, ComputingMilieux_MISCELLANEOUS, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Waves propagation, Carotid, Physics, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph], business.industry, [ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph], Estimator, 3. Good health, Transverse plane, reseau_international, Imagerie Ultrasonore, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Transverse oscillations, Ultrafast imaging, Wall spatial periodic ripples, categₘixte, business, Ultrashort pulse, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Biomedical engineering
Abstract

International audience; Early detection of cardiovascular diseases can be done by assessing the dynamic properties of arteries. In this study, two phenomena related to the carotid wall motion are presented. The 2D motion estimation method employs (i) ultrafast imaging which became a world-wide use modality, (ii) transverse oscillations technics which allow improving the motion estimation in transverse direction i.e. perpendicular to the beam, and (iii) a 2D phase shift estimator. First, using only the radial acceleration wall, the Wall Spatial Periodic Ripples (WSPR) is studied under a cold pressor test. The results show that the WSPR mean maximum amplitude decreased of 22.9% at the systolic wave and 33.2% at the dicrotic notch. So, the WSPR is a possible artery wall rigidity marker. Then, using a very high frame rate imaging, the longitudinal carotid wall motion of one healthy subject is studied. This second experimentation permits to estimate the propagation of a longitudinal motion on an in vivo carotid. Its mean velocity was evaluated at 16.1 m.s-1, which given a ratio of 3 between with the estimated PWV.

Published
2016

12. Evaluation of a frequency-domain ultrasonic imaging attenuation compensation technique

Author

Olivier Basset, Edmundo Pozo, Francois Varray, Roberto Lavarello, Julien Rouyer, Christian Cachard, Laboratoire de Mathématiques Informatique et Applications (LMIA), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Materials science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Acoustics, Labex CELYA, Transducers, Time gain compensation, Lossy compression, Labex PRIMES, Speckle pattern, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image resolution, ComputingMilieux_MISCELLANEOUS, Ultrasonography, Lossless compression, business.industry, Phantoms, Imaging, Attenuation, Imagerie Ultrasonore, reseau_international, Liver, Attenuation coefficient, Frequency domain, Pérou, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

Ultrasound attenuation is typically compensated for in clinical scanners by using time gain compensation (TGC). However, TGC operates in a frequency-independent fashion and therefore the spatial resolution of the echographic images degrades as the examination depth increases. In the current study, the capability of a multi-band attenuation compensation (MBAC) TGC technique to recover both magnitude and spatial resolution in lossy media was evaluated. Simulations were performed using a 5-MHz transducer for imaging point targets embedded in a medium with attenuation coefficient slope (ACS) of 0.5 dB/(cm.MHz). For performance assessment, the magnitude and spatial resolution of the reflected point spread functions (PSFs) were compared to the ones obtained from point targets embedded in a lossless medium. The results showed a complete recovery of the spectral content when using MBAC for all depths when compared to the lossless case. Both the magnitude and spatial resolution of the compensated PSFs were in agreement with the lossless result (i.e., less than 1 dB and 3 % difference in PSF magnitude and spatial resolution, respectively). The MBAC was then applied to in vivo liver imaging using a scanner equipped with a 5-MHz linear array. Attenuation compensation was performed using ACSs reported in the literature for skin, fat and muscle, and experimentally estimated ACS using the spectral log difference technique for the liver. The lateral and axial extent of the autocorrelation function was estimated in the liver tissue. The experimental MBAC image exhibited only 6 % and 11 % variation in speckle magnitude and lateral autocorrelation length for depths between 2.5 and 4 cm. These results suggest that MBAC technique may enhance speckle uniformity in homogeneous tissue regions.

Published
2016

13. Iterative cone beam computed tomography in RTK, the Reconstruction ToolKit

Author

Mory, C., Simon Rit, iMagX/MIRO, Université Catholique de Louvain = Catholic University of Louvain (UCL), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Tomographique et Radiothérapie, and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)

Subjects
reseau_international, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, categₛt2i, Imagerie tomographique et thérapie par rayonnement, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2016

14. Specific attenuation compensation in spatial and frequency domain

Author

Varray, F., Rouyer, J., Cachard, C., Lavarello, R., Basset, O., Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Mathématiques Informatique et Applications (LMIA), and Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))

Subjects
Imagerie Ultrasonore, reseau_international, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Labex CELYA, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2016

15. Broadband Reduction of the Second Harmonic Distortion During Nonlinear Ultrasound Wave Propagation

Author

Mike Danilouchkine, Olivier Basset, Christian Cachard, Nico de Jong, Guillaume Matte, Mirza Pasovic, Antonius F.W. van der Steen, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Cardiothoracic Surgery, and Cardiology

Subjects
Acoustics and Ultrasonics, Acoustics, Transducers, Physics::Medical Physics, Biophysics, Phase (waves), Contrast Media, imagerie_ultrasonore, Optics, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Waveform, Radiology, Nuclear Medicine and imaging, ComputingMilieux_MISCELLANEOUS, Ultrasonography, Physics, Total harmonic distortion, Microbubbles, Radiological and Ultrasound Technology, Phantoms, Imaging, business.industry, Signal Processing, Computer-Assisted, Image Enhancement, Imagerie Ultrasonore, reseau_international, Nonlinear distortion, Harmonics, Discrete frequency domain, Harmonic, Imaging Signal, business
Abstract

Ultrasound contrast harmonic imaging and detection techniques are hampered by the harmonic distortion of the ultrasound wave caused by the nonlinearities of the medium. To increase the discrimination between the tissue and ultrasound contrast agents at higher harmonics, we investigate a tissue harmonic suppression technique. The main attention of the research is the signal that is introduced at the source and is constructed out of several discrete frequency components from the second harmonic band. Therefore, this method was coined as the multiple component second harmonic reduction signal or multiple component SHRS. By adjusting the amplitude and phase of discrete components and simultaneously propagating multiple component SHRS with the imaging signal, the nonlinear distortion of the ultrasound waveform is considerably reduced. Using the numerical simulation, the optimal parameters for multiple component SRHS were deduced. The simulations results were corroborated in the water tank experiments and showed 40 dB reduction with respect to the fundamental, covering up to 75% of the entire second harmonic band. In the other series of experiments with the clinically used contrast agent, the uniform increase in agent-to-tissue ratio of 7.4 dB over a relatively large region of imaging was observed. The use of the proposed method in the everyday clinical practice can improve discrimination between the tissue and the contrast agent in harmonic imaging. ( E-mail: mirza.pasovic@creatis.insa-lyon.fr) (C) 2010 World Federation for Ultrasound in Medicine & Biology.

Published
2010

16. Estimation of the viscoelastic properties of vessel walls using a computational model and Doppler ultrasound

Author

Alejandro F. Frangi, Piero Tortoli, Enrico Boni, Guy Courbebaisse, Olivier Basset, Christian Cachard, Simone Balocco, Computer Vision Center (Centre de visio per computador) (CVC), Universitat Autònoma de Barcelona (UAB), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Microelectronic Systems Design Laboratory - Università di Firenze, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Instituto de Salud Carlos III [Madrid] (ISC)-ministerio de ciencia e innovacion, Institució Catalana de Recerca i Estudis Avançats (ICREA), Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra [Barcelona] (UPF), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Universitat Pompeu Fabra

Subjects
Sistema cardiovascular -- Malalties, Artèries -- Malalties, Physics::Medical Physics, Constitutive equation, Reference data (financial markets), 030204 cardiovascular system & hematology, 01 natural sciences, Physics::Fluid Dynamics, Viscosity, 0302 clinical medicine, ARMA parameter fitting, 010301 acoustics, ComputingMilieux_MISCELLANEOUS, Espagne, Radiological and Ultrasound Technology, Phantoms, Imaging, Mechanics, Imagerie Ultrasonore, reseau_international, categₘixte, France, Standard linear solid model, Materials science, Quantitative Biology::Tissues and Organs, imagerie_ultrasonore, Models, Biological, Terms—Viscoelasticity, Imaging phantom, Viscoelasticity, 03 medical and health sciences, Approximation error, 0103 physical sciences, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Computer Simulation, Radiology, Nuclear Medicine and imaging, Sensitivity (control systems), Simulation, Arterial wall model, Italie, Computational Biology, Ultrasonography, Doppler, Elasticity, Regional Blood Flow, Noninvasive measurement, Blood Vessels, Aterosclerosi
Abstract

Human arteries affected by atherosclerosis are characterized by altered wall viscoelastic properties. The possibility of noninvasively assessing arterial viscoelasticity in vivo would significantly contribute to the early diagnosis and prevention of this disease. This paper presents a noniterative technique to estimate the viscoelastic parameters of a vascular wall Zener model. The approach requires the simultaneous measurement of flow variations and wall displacements, which can be provided by suitable ultrasound Doppler instruments. Viscoelastic parameters are estimated by fitting the theoretical constitutive equations to the experimental measurements using an ARMA parameter approach. The accuracy and sensitivity of the proposed method are tested using reference data generated by numerical simulations of arterial pulsation in which the physiological conditions and the viscoelastic parameters of the model can be suitably varied. The estimated values quantitatively agree with the reference values, showing that the only parameter affected by changing the physiological conditions is viscosity, whose relative error was about 27% even when a poor signal-to-noise ratio is simulated. Finally, the feasibility of the method is illustrated through three measurements made at different flow regimes on a cylindrical vessel phantom, yielding a parameter mean estimation error of 25%. This work has been partially funded by the Industrial and Technological Development Centre (CDTI) within the CENIT Programme (CDTEAM Project), the EC @neurIST (IST-FP6-2004-027703) projects, by BQR INSA-Lyon and by the Italian/nMinistry of University & Research (COFIN-PRIN 2005).

Published
2010

17. Dynamic Partitioning of GATE Monte-Carlo Simulations on EGEE

Author

David Sarrut, Tristan Glatard, Sorina Camarasu-Pop, Jakub T. Mościcki, Hugues Benoit-Cattin, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Service Informatique et développements

Subjects
Scheme (programming language), Computer Networks and Communications, Computer science, Monte Carlo method, 02 engineering and technology, Parallel computing, computer.software_genre, Porting, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Software, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 0202 electrical engineering, electronic engineering, information engineering, Overhead (computing), Imagerie tomographique et thérapie par rayonnement, ComputingMilieux_MISCELLANEOUS, computer.programming_language, business.industry, Images et Modèles, Grid, reseau_international, Workflow, Grid computing, Hardware and Architecture, 020201 artificial intelligence & image processing, business, computer, Information Systems
Abstract

The EGEE Grid offers the necessary infrastructure and resources for reducing the running time of particle tracking Monte-Carlo applications like GATE. However, efforts are required to achieve reliable and efficient execution and to provide execution frameworks to end-users. This paper presents results obtained with porting the GATE software on the EGEE Grid, our ultimate goal being to provide reliable, user-friendly and fast execution of GATE to radiation therapy researchers. To address these requirements, we propose a new parallelization scheme based on a dynamic partitioning and its implementation in two different frameworks using pilot jobs and workflows. Results show that pilot jobs bring strong improvement w.r.t. regular gLite submission, that the proposed dynamic partitioning algorithm further reduces execution time by a factor of two and that the genericity and user-friendliness offered by the workflow implementation do not introduce significant overhead.

Published
2010

18. 3D Visualization and Simulation in Surgical Planning System of Orbital Hypertelorism

Author

Kai Xie, Yuemin Zhu, Sheng Yang, and Zhu, Yuemin

Subjects
genetic structures, Computer science, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Medicine (miscellaneous), Health Informatics, Surgical operation, Object motion, Imagerie Coeur - Vaisseaux - Poumons, Surgical planning, User-Computer Interface, Health Information Management, Image Interpretation, Computer-Assisted, medicine, Humans, Computer Simulation, categ_mixte, Collision detection, Craniofacial, Hypertelorism, Simulation, Visualization, reseau_international, Orbit, Surgery, Computer-Assisted, medicine.symptom, Tomography, X-Ray Computed, Information Systems
Abstract

Simulation and three-dimensional visualization of object motion is a prerequisite for any surgical planning system. Orbital hypertelorism is a disease, which is most commonly associated with craniofacial malformations. We have developed a surgical planning system for planning and evaluation of orbital hypertelorism surgery. In our system CT-based virtual surface models fitted by oriented bounding boxes (OBB) are manipulated. Three-dimensional motion as well as a correction surgery can be simulated. Both are controlled by collision detection. The computer-based interactive surgery simulation systems (CISSS) presented here can take virtual surgical operation and forecast facial features after the correction of orbital hypertelorism, our surgical planning is cheaper and faster than the current methods, surgical outcome was also better than the current methods.

Published
2009

19. Spot matching of 2-DE images using distance, intensity and pattern information

Author

Xin, H M, Zhu, y M, Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Zhu, Yuemin, and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
reseau_international, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Chine, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

20. Compressed sensing MR image reconstruction using data-driven tight frame

Author

Huang, J P, Wang, L H, Chu, Chunyu, Zhang, Y L, Liu, W Y, Zhu, Yue-Min, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
reseau_international, Images et Modèles, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, METISLAB, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

21. Volume visualization based on the intensity and SUSAN transfer function spaces

Author

Song, Y P, Yang, J, Qiao, Y, Zhu, Y M, Institute of Applied Research, Vilnius University [Vilnius], Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_st2i, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

22. Characteristic Assessment of Three-Dimensional Point Clouds in HARDI Using Morphological Metrics

Author

Sun, C.Y., Chu, C.Y., F, Yang, Liu, W.Y., Magnin, I.E., Zhu, Yue-Min, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, METISLAB, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

23. Electric Field Based Transfer Functions for Volume Visualization

Author

Lei Zhou, Jie Yang, Yipeng Song, Yuemin Zhu, Institute of Applied Research, Vilnius University [Vilnius], IRCELYON-Approches thermodynamiques, analytiques et réactionnelles intégrées (ATARI), Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Biomedical Engineering, Charge density, Magnitude (mathematics), 020207 software engineering, Geometry, Volume rendering, 02 engineering and technology, General Medicine, Space (mathematics), Topology, computer.software_genre, Transfer function, Imagerie Coeur - Vaisseaux - Poumons, reseau_international, Voxel, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 020201 artificial intelligence & image processing, categ_mixte, Arch, computer, Intensity (heat transfer), ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract

Transfer functions play a crucial role in direct volume rendering. The intensity and gradient magnitude (IGM) space is one of the most commonly used transfer function spaces, in which boundaries between different materials appear as arches. However, there are often overlapping regions of adjacent arches in the space, which makes it difficult for users to design good transfer functions for exploring and visualizing tissues of interest. To deal with this problem, the present study proposes a transfer function space based on electric field theory. For each voxel, the volume charge density and electric force magnitude in its local neighborhood are calculated. Then, the two properties are used to create the transfer function space. Compared with the IGM space, the proposed space significantly reduces the number of overlapping regions of adjacent arches and produces more compact arches. Thus, users can design appropriate transfer functions for tissues of interest and obtain meaningful visualizations. Results for various datasets are used to illustrate the effectiveness of the proposed method.

Published
2015

24. Combination of topological parameters and bone volume fraction better predicts the mechanical properties of trabecular bone

Author

Lis Mosekilde, Claude Laurent Benhamou, Sharmila Majumdar, Laurent Pothuaud, Bert van Rietbergen, Olivier Beuf, P. Levitz, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de physique de la matière condensée (LPMC), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Biomécanique et génie biomédical (BIM), Centre National de la Recherche Scientifique (CNRS), and Orthopaedic Biomechanics

Subjects
Adult, Male, Méthodes et systèmes en IRM et optique, Normalization (statistics), Materials science, Compressive Strength, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Finite Element Analysis, Statistics as Topic, Biomedical Engineering, Biophysics, 030209 endocrinology & metabolism, Monotonic function, In Vitro Techniques, Topology, Models, Biological, Sensitivity and Specificity, 03 medical and health sciences, Bone volume fraction, Imaging, Three-Dimensional, 0302 clinical medicine, categₛt2i, Cluster Analysis, Humans, Computer Simulation, Orthopedics and Sports Medicine, Elastic modulus, ComputingMilieux_MISCELLANEOUS, Aged, 030304 developmental biology, 0303 health sciences, Lumbar Vertebrae, Rehabilitation, Reproducibility of Results, Middle Aged, Magnetic Resonance Imaging, imagerie_RMNₒptique, Elasticity, Finite element method, Exponential function, reseau_international, Trabecular bone, Volume fraction, Female
Abstract

Trabecular bone structure may complement bone volume/total volume fraction (BV/TV) in the prediction of the mechanical properties. Nonetheless, the direct in vivo use of information pertaining to trabecular bone structure necessitates some predictive analytical model linking structure measures to mechanical properties. In this context, the purpose of this study was to combine BV/TV and topological parameters so as to better estimate the mechanical properties of trabecular bone. Thirteen trabecular bone mid-sagittal sections were imaged by magnetic resonance (MR) imaging at the resolution of 117 x 117x 300 microm(3). Topological parameters were evaluated in applying the 3D-line skeleton graph analysis (LSGA) technique to the binary MR images. The same images were used to estimate the elastic moduli! by finite element analysis (FEA). In addition to the mid-sagittal section, two cylindrical samples were cored from each vertebra along vertical and horizontal directions. Monotonic compression tests were applied to these samples to measure both vertical and horizontal ultimate stresses. BV/TV was found as a strong predictor of the mechanical properties, accounting for 89-94% of the variability of the elastic moduli and for 69-86% of the variability of the ultimate stresses. Topological parameters and BV/TV were combined following two analytical formulations, based on: (1) the normalization of the topological parameters; and on (2) an exponential fit-model. The normalized parameters accounted for 96-98% of the variability of the elastic moduli, and the exponential model accounted for 80-95% of the variability of the ultimate stresses. Such formulations could potentially be used to increase the prediction of the mechanical properties of trabecular bone.

Published
2002

25. Magnetic resonance imaging of normal and osteoarthritic trabecular bone structure in the human knee

Author

David C. Newitt, Sharmila Majumdar, Thomas M. Link, Olivier Beuf, Lynne S. Steinbach, Michael D. Ries, Srinka Ghosh, Nancy E Lane, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie, and Université Bordeaux Segalen - Bordeaux 2-IFR8-Centre National de la Recherche Scientifique (CNRS)

Subjects
Adult, Male, Méthodes et systèmes en IRM et optique, musculoskeletal diseases, genetic structures, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Immunology, Osteoarthritis, Knee Joint, Severity of Illness Index, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Rheumatology, Arthropathy, categₛt2i, medicine, Humans, Immunology and Allergy, Pharmacology (medical), In patient, Femur, Tibia, ComputingMilieux_MISCELLANEOUS, Aged, 030203 arthritis & rheumatology, medicine.diagnostic_test, business.industry, Reproducibility of Results, Magnetic resonance imaging, Anatomy, Middle Aged, Osteoarthritis, Knee, musculoskeletal system, medicine.disease, Magnetic Resonance Imaging, imagerie_RMNₒptique, reseau_international, Trabecular bone, Female, business
Abstract

Objective To use high-resolution magnetic resonance imaging (MRI) to evaluate the trabecular bone structure in the distal femur and the proximal tibia and its to correlate the findings with different stages of osteoarthritis (OA) of the human knee. Methods Axial images of the distal femur and proximal tibia were obtained at 1.5 T in patients without and with mild OA and with severe OA. The spatial resolution was 195 × 195 μm2 with a 1-mm slice thickness. Apparent measures of trabecular bone volume fraction (BV/TV), trabecular number (Tb.N), trabecular separation (Tb.Sp), and trabecular thickness (Tb.Th) were calculated. Results Significant differences existed in the trabecular bone structure of the femur and tibia. Differences in trabecular bone structure between the tibia and the femur decreased with the degree of OA. The apparent BV/TV, Tb.N, and Tb.Sp in the femoral condyles could be used to differentiate healthy patients or patients with mild OA from patients with severe OA (P < 0.05). Among individuals, the structural variation of the lateral and medial femoral condyle was indicative of the extent of the disease. Conclusion High-resolution MRI of the knee joint can provide a noninvasive assessment of trabecular bone structure. Trabecular bone structure, determined by high-resolution MRI, shows significant variation in patients with varying degrees of OA. The impact of OA on trabecular bone is different in the tibia than in the femur, and this difference depends on the extent of the disease.

Published
2002

26. Dose fractionation in X-ray In-line Phase Tomography

Author

Langer, M., Frachon, T., Weber, L., Hesse, B., Dong, P., Simon Rit, Peyrin, F., European Synchrotron Radiation Facility (ESRF), Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Centre Léon Bérard [Lyon]

Subjects
reseau_international, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, categₛt2i, Imagerie tomographique et thérapie par rayonnement, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2014

27. Automatic Segmentation and Quantitative Analysis of White Matter Hyperintensities on FLAIR Images Using Trimmed-Likelihood Estimator

Author

Li, C, Wang, J, Wei, X E, Li, Y H, Hui, C, Zhu, Y M, Zhang, S, Shanghai Jiaotong University, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

28. Automatic segmentation of white matter lesions on magnetic resonance images of the brain by using an outlier detection strategy

Author

Xiaoer Wei, Yuemin Zhu, Chao Li, Rui Wang, Yuehua Li, Su Zhang, Jie Wang, Chun Hui, Nanjing Institute of Geography and Limnology (Niglas), Chinese Academy of Sciences [Beijing] (CAS), National Institute of Standards and Technology [Gaithersburg] (NIST), Department of Material Science and Engineering, University of Shanghai [Shanghai], Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Sorbonne Université (SU)

Subjects
Aging, Computer science, Biomedical Engineering, Biophysics, Normal Distribution, Imagerie Coeur - Vaisseaux - Poumons, 030218 nuclear medicine & medical imaging, Pattern Recognition, Automated, Normal distribution, 03 medical and health sciences, 0302 clinical medicine, Gumbel distribution, Risk Factors, medicine, Image Processing, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Radiology, Nuclear Medicine and imaging, Computer vision, Segmentation, categ_mixte, ComputingMilieux_MISCELLANEOUS, Aged, Probability, Aged, 80 and over, Brain Mapping, Likelihood Functions, medicine.diagnostic_test, business.industry, Anticoagulants, Brain, Reproducibility of Results, Pattern recognition, Magnetic resonance imaging, Middle Aged, Mixture model, Magnetic Resonance Imaging, White Matter, Hyperintensity, reseau_national, Stroke, reseau_international, Outlier, Generalized extreme value distribution, Linear Models, Artificial intelligence, business, 030217 neurology & neurosurgery, Algorithms
Abstract

White matter lesions (WMLs) are commonly observed on the magnetic resonance (MR) images of normal elderly in association with vascular risk factors, such as hypertension or stroke. An accurate WML detection provides significant information for disease tracking, therapy evaluation, and normal aging research. In this article, we present an unsupervised WML segmentation method that uses Gaussian mixture model to describe the intensity distribution of the normal brain tissues and detects the WMLs as outliers to the normal brain tissue model based on extreme value theory. The detection of WMLs is performed by comparing the probability distribution function of a one-sided normal distribution and a Gumbel distribution, which is a specific extreme value distribution. The performance of the automatic segmentation is validated on synthetic and clinical MR images with regard to different imaging sequences and lesion loads. Results indicate that the segmentation method has a favorable accuracy competitive with other state-of-the-art WML segmentation methods.

Published
2014

29. Realistic acoustic simulation of 2D probe elements in simulated annealing sparse array optimization

Author

Bakary Diarra, Emmanuel Roux, Herve Liebgott, Marc Robini, Piero Tortoli, Christian Cachard, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE)

Subjects
Optimization, Italie, Computer science, categₘed, Acoustics, Labex CELYA, Degrees of freedom (mechanics), Labex PRIMES, Imagerie Ultrasonore, reseau_international, Transducer, Sparse array, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Simulated annealing, Ultrasound Imaging, Wideband, 2D Matrix Arrays, Omnidirectional antenna, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Sparse matrix
Abstract

In this study, the benefits of integrating a realistic acoustic simulation in the 2-D non-grid sparse array design are investigated. A wideband shape sensitive (WSS) energy function is introduced. New degrees of freedom in 2-D arrays transducer optimization are thus made available. A related consequence is the capability of distinguishing probes configurations so far considered as performing identically. To clearly illustrate this, we compare the radiated patterns of two 5×5 elements array probes having elements with the same rectangular size and position, but perpendicular orientations. Under linear assumption, an ergonomic data management, here named Fixy method, enables the radiated pattern computation during the optimization process thanks to a 4.8 times speed-up. Finally two optimized probes are compared with an equivalent size full-array. One was optimized using the omnidirectional monochromatic model and the other one using the proposed WSS energy function. To consider the same acoustic radiation of the probe during the optimization as in reality yields promising results.

Published
2014

30. Plane Wave Transverse Oscillation (PWTO): an ultra-fast trans-verse oscillation imaging mode performed in the Fourier domain for 2D motion estimation of the carotid artery

Author

Florent Savary, Herve Liebgott, Damien Garcia, Benyebka Bou-Saïd, Didier Vray, André Sérusclat, Sebastien Salles, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de biologie moléculaire des plantes (IBMP), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Hopital Cardio-Thoracique et Vasculaire Louis Pradel, Hôpital Louis Pradel [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Canada, Carotid arteries, Acoustics, 0206 medical engineering, Labex CELYA, Plane wave, 02 engineering and technology, 01 natural sciences, Labex PRIMES, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Motion estimation, 0103 physical sciences, Ultra fast, 010301 acoustics, Fourier domain, ComputingMilieux_MISCELLANEOUS, Physics, business.industry, Oscillation, Mode (statistics), 020601 biomedical engineering, Transverse plane, Imagerie Ultrasonore, reseau_international, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience

Published
2014

31. Simulation of dynamic DTI of 3D cardiac fiber structures

Author

Isabelle E. Magnin, Yuemin Zhu, Wanyu Liu, Lihui Wang, Feng Yang, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), School of Computer and Information Technology [Beijing] (SCIT), Beijing Jiaotong University (BJTU), Department of Physics [Coral Gables], and University of Miami [Coral Gables]

Subjects
cardiac fiber orientation distribution, Imagerie Coeur - Vaisseaux - Poumons, medical image processing, DW imaging, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, Medicine, systole, ComputingMilieux_MISCELLANEOUS, fiber structure, Biological system modeling, Monte Carlo methods, Heart, cardiac motion information, METISLAB, simulation, Dynamics, reseau_international, Diffusion tensor imaging, DTI, cardiology, Three-dimensional displays, mean diffusivity, human heart, 3D cardiac fiber structures, fractional anisotropy, medicine.medical_specialty, in-vivo three-dimensional DTI acquisition, Cardiac fiber, ex vivo referential cardiac fiber structure, biomedical MRI, cardiac fiber, diffusion tensors, biomechanics, 03 medical and health sciences, diastole, diffusion weighted imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Medical physics, Monte-Carlo, Tensile stress, business.industry, dynamic diffusion image properties, dynamic DTI simulation, cardiac cycle, cardiac motion, dynamic heart, business, 030217 neurology & neurosurgery, Biomedical engineering, medical disorders
Abstract

International audience

Published
2014

32. Cardiac fiber tracking using particle filtering in MRI

Author

Kong, F H, Liu, W Y, Magnin, I E, Zhu, Yue-Min, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
reseau_international, Kong-14, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, METISLAB, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

33. Neuromuscular Fiber Segmentation Through Particle Filtering and Discrete Optimization

Author

Francois Varray, Thomas Dietenbeck, Jan Kybic, Christian Cachard, Olivier Basset, Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Ultrasonore, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Center for Machine Perception, Czech Technical University in Prague (CTU), Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS)-Clermont Université, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Labex CELYA, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Discrete optimization, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Segmentation, Computer vision, Cluster analysis, Projection (set theory), ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Czech Republic, 0303 health sciences, business.industry, Images et Modèles, Pattern recognition, Support vector machine, Imagerie Ultrasonore, reseau_international, Artificial intelligence, Particle filter, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery
Abstract

We present an algorithm to segment a set of parallel, intertwined and bifurcating fibers from 3D images, targeted for the identification of neuronal fibers in very large sets of 3D confocal microscopy images. The method consists of preprocessing, local calculation of fiber probabilities, seed detection, tracking by particle filtering, global supervised seed clustering and final voxel segmentation. The preprocessing uses a novel random local probability filtering (RLPF). The fiber probabilities computation is performed by means of SVM using steerable filters and the RLPF outputs as features. The global segmentation is solved by discrete optimization. The combination of global and local approaches makes the segmentation robust, yet the individual data blocks can be processed sequentially, limiting memory consumption. The method is automatic but efficient manual interactions are possible if needed. The method is validated on the Neuromuscular Projection Fibers dataset from the Diadem Challenge. On the 15 first blocks present, our method has a 99.4% detection rate. We also compare our segmentation results to a state-of-the-art method. On average, the performances of our method are either higher or equivalent to that of the state-of-the-art method but less user interactions is needed in our approach.

Published
2014

34. Quantitative photoacoustic tomography (QPAT) of blodd vessels by use of radiative transfer equation (RTE)

Author

Li, S., Montcel, B., Liu, W., Vray, D., Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Sino French Research Center for Biomedical Imaging (HIT-INSA), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Harbin Institute of Technology (HIT), RMN et optique : De la mesure au biomarqueur, Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Imagerie Ultrasonore

Subjects
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], Imagerie Ultrasonore, reseau_international, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Labex CELYA, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, METISLAB, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

35. Influence of post diffusion tensor image processing on fa measure of myocardial infarction in porcine model

Author

Yang, F, Zhu, Y M, Zuluaga, M A, Croisille, P., Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and RMN et optique : De la mesure au biomarqueur

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

36. Unfolding Cardiac Fibers by Dimensionality Reduction

Author

Li, H Y, Robini, M, Zhu, Yue-Min, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

37. Nonconvex half-quadratic image reconstruction with wavelet-domain sparsity constraints

Author

Robini, M, Zhu, Yue-Min, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

38. Blood velocity measurement in healthy and diseased carotid arteries by vector Doppler techniques

Author

D. Righi, Piero Tortoli, Matteo Lenge, Stefano Ricci, Herve Liebgott, Information Engineering (DINFO), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), CERFACS, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
medicine.medical_specialty, Blood velocity, Carotid arteries, Spectral doppler, 01 natural sciences, 030218 nuclear medicine & medical imaging, Labex PRIMES, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0103 physical sciences, Healthy volunteers, Linear regression, categₛt2i, Medicine, 010301 acoustics, ComputingMilieux_MISCELLANEOUS, Italie, business.industry, Slope coefficient, medicine.disease, Stenosis, Imagerie Ultrasonore, reseau_international, cardiovascular system, symbols, Radiology, Nuclear medicine, business, Doppler effect, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

Vector Doppler (VD) methods are increasingly attractive for the capability of providing angle-independent blood velocity measurements. This may be particularly important in carotid artery peak systolic velocity (PSV) measurements, which are widely used for stenosis assessments. Here, two recently introduced VD techniques have been compared to the classic spectral Doppler approach through 37 PSV measurements in common carotid arteries (CCAs) and internal carotid arteries (ICAs) of healthy volunteers and of patients with different degrees of stenosis. The PSVs measured by the two VD techniques were very close to each other for both CCAs and ICAs (0.83 slope coefficient and 7 cm/s intercept value, according to the linear regression analysis). Comparing any of the two VD techniques to the classic method provided a (0.42÷0.46) regression coefficient with a (14÷20) cm/s intercept value. The high correlation obtained with the two VD techniques supports their suitability to perform accurate PSV measurements in carotid arteries.

Published
2014

39. Analytic Motion-compensated Region-of-Interest Reconstruction from Truncated Projections

Author

Laurent Desbat, Jan Hoskovec, Simon Rit, Rolf Clackdoyle, Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF), Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Centre Léon Bérard [Lyon]

Subjects
business.industry, Physics::Medical Physics, Motion (geometry), Deformation (meteorology), 030218 nuclear medicine & medical imaging, Compensation (engineering), Labex PRIMES, 03 medical and health sciences, reseau_international, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Region of interest, Simple (abstract algebra), 030220 oncology & carcinogenesis, Shepp–Logan phantom, categₛt2i, Computer vision, Imagerie tomographique et thérapie par rayonnement, Artificial intelligence, Truncation (statistics), business, Projection (set theory), ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract

The aim of this work was to propose an analytic reconstruction of two-dimensional CT images in the presence of both patient motion and truncation of the projection data. The proposed method is based on the method of differentiated backprojection with Hilbert filtering (DBP-H). There is a variant of this algorithm which suits our purpose because it begins with a simple backprojection of the unprocessed projection data. The motion correction can be achieved by incorporating an analytic deformation compensation at the backprojections step, then the algorithm proceeds as usual. A simulation experiment was performed on a slice of the Shepp Logan phantom subject to a geometry-preserving deformation. The setup was such that the solutions of the deformation problem alone or of the truncation problem alone are known, but not that of both at the same time. The results demonstrate the efficacy of our approach, and that this type of reconstruction is feasible.

Published
2014

40. High Frame Rate Compounding for Nonlinearity B/A Parameter Ultrasound Imaging in Echo Mode - Simulation Results

Author

Toulemonde, M., Varray, F., Basset, O., Tortoli, P., Cachard, C., Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Microelectronics Systems Design

Subjects
reseau_international, Imagerie Ultrasonore, Italie, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Labex CELYA, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, France, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

41. Trabecular Structure Assessment in Lumbar Vertebrae Specimens Using Quantitative Magnetic Resonance Imaging and Relationship with Mechanical Competence

Author

Olivier Beuf, David C. Newitt, Sharmila Majumdar, Lis Mosekilde, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Adult, Male, Méthodes et systèmes en IRM et optique, Relaxometry, Materials science, Bone disease, Bone density, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Endocrinology, Diabetes and Metabolism, Osteoporosis, 030209 endocrinology & metabolism, Lumbar vertebrae, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Bone Density, categₛt2i, medicine, Humans, Orthopedics and Sports Medicine, ComputingMilieux_MISCELLANEOUS, Aged, Bone mineral, Lumbar Vertebrae, business.industry, Biomechanics, Anatomy, Middle Aged, medicine.disease, Magnetic Resonance Imaging, imagerie_RMNₒptique, Vertebra, reseau_international, medicine.anatomical_structure, Female, Nuclear medicine, business
Abstract

The purpose of this study was to use quantitative magnetic resonance imaging (MRI; high-resolution [HR] and relaxometry) to assess trabecular bone structure in lumbar vertebrae specimens and to compare these techniques with bone mineral density (BMD) in predicting stress values obtained from mechanical tests. Fourteen vertebral midsagittal sections from lumbar vertebrae L3 were obtained from cadavers (aged 22-76 years). HR images with a slice thickness of 300 microm and an in-plane spatial resolution of 117 microm2 x 117 microm2 were obtained. Transverse relaxation time T2' distribution was measured by using an asymmetric spin-echo (ASE) sequence. Traditional morphometric measures of bone structure such as apparent trabecular bone fraction (app. BV/TV), apparent trabecular bone number (app. Tb.N), apparent trabecular bone separation (app. Tb.Sp), and apparent trabecular bone thickness (app. Tb.Th) as well as the directional mean intercept length (MIL) were calculated. Additionally, BMD measurements of these sections were obtained by dual-energy X-ray absorptiometry (DXA) and biomechanical properties such as directional stress values (to fracture) were determined on adjacent specimens. With the exception of T2', all morphological parameters correlated very well with age, BMD, and stress values (R between 0.79 and 0.92). However, in the direction perpendicular to the magnetic field, T2' values enhanced the adjusted R2 correlation value with horizontal (M/L) stress values in addition to BMD from 0.70 to 0.91 (p < 0.05).

Published
2001

42. Synthetic aperture-based beam compression for intravascular ultrasound imaging

Author

M. Krueger, K. Schroeder, Didier Vray, T. Rastello, Gérard Gimenez, Elisabeth Brusseau, C. Haas, Helmut Ermert, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Synthetic aperture radar, Acoustics and Ultrasonics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, Computation, Transducers, Image processing, Iterative reconstruction, imagerie_ultrasonore, Grating, symbols.namesake, Optics, Intravascular ultrasound, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, medicine, Humans, Computer Simulation, Electrical and Electronic Engineering, Instrumentation, Ultrasonography, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], Fourier Analysis, medicine.diagnostic_test, Phantoms, Imaging, business.industry, Models, Cardiovascular, Signal Processing, Computer-Assisted, Coronary Vessels, Imagerie Ultrasonore, reseau_international, Fourier transform, symbols, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Beam (structure)
Abstract

In this paper, intravascular ultrasound (IVUS) images acquired with a 64-element array transducer using a multistatic acquisition scheme are presented. The images are reconstructed from a collection of pulse-echo measurements using a synthetic aperture array imaging technique. The main limitations of IVUS imaging are a poor lateral resolution and elevated grating lobes caused by the imaging geometry. We propose a Synthetic Aperture Focusing Technique (SAFT), which uses a limited number of A-scan signals. The focusing process, which is performed in the Fourier domain, requires far less computation time than conventional delay-and-sum methods. Two different reconstruction kernel functions have been derived and are compared for the processing of experimental data.

Published
2001

43. Line filtering for surgical tool localization in 3D ultrasound images

Author

Jan Kybic, Yue Zhao, Marian Uhercik, Christian Cachard, Herve Liebgott, Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Center for Machine Perception, Czech Technical University in Prague (CTU), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Computer science, Labex CELYA, Model fitting, Health Informatics, 02 engineering and technology, RANSAC, computer.software_genre, Labex PRIMES, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Imaging, Three-Dimensional, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Voxel, categₛt2i, 0202 electrical engineering, electronic engineering, information engineering, medicine, Humans, 3D ultrasound, Computer vision, ComputingMilieux_MISCELLANEOUS, Czech Republic, Ultrasonography, medicine.diagnostic_test, business.industry, Failure rate, Computer Science Applications, Imagerie Ultrasonore, reseau_international, Robotic systems, Outlier, 020201 artificial intelligence & image processing, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, computer, Classifier (UML)
Abstract

We present a method for automatic surgical tool localization in 3D ultrasound images based on line filtering, voxel classification and model fitting. This could possibly provide assistance for biopsy needle or micro-electrode insertion, or a robotic system performing this insertion. The line-filtering method is first used to enhance the contrast of the 3D ultrasound image, then a classifier is chosen to separate the tool voxels, in order to reduce the number of outliers. The last step is Random Sample Consensus (RANSAC) model fitting. Experimental results on several different polyvinyl alcohol (PVA) cryogel data sets demonstrate that the failure rate of the method proposed herein is improved by at least 86% compared to the model-fitting RANSAC algorithm with axis accuracy better than 1mm, at the expense of only a modest increase in computational effort. The results of this experiment show that this system could be useful for clinical applications.

Published
2013

44. Thomson\textquoterights multitaper high frame rate compounding for speckle reduction

Author

Toulemonde, M., Basset, O., Tortoli, P., Cachard, C., Centre de recherche sur les Ions, les MAtériaux et la Photonique (CIMAP - UMR 6252), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Information Engineering (DINFO), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche sur les Matériaux Avancés (IRMA), Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Rouen Normandie (UNIROUEN), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Università degli Studi di Firenze = University of Florence (UniFI)

Subjects
Imagerie Ultrasonore, reseau_international, Italie, Labex CELYA, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, France, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2013

46. Frequency-domain high frame-rate 2D vector flow imagin

Author

Lenge, M., Ramalli, A., Boni, E., Liebgott, H., Cachard, C., Tortoli, P., Information Engineering (DINFO), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Ultrasonore, and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
Imagerie Ultrasonore, reseau_international, Italie, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Labex CELYA, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2013

47. High-speed vector motion imaging with diverging circular waves: in vitro study using a spinning disc phantom

Author

Posada, D., Shahriari, S., Chayer, B., Cloutier, G., Liebgott, H., Garcia, David, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM), Laboratory of Biorheology and Medical Ultrasonics (LBUM), Université de Montréal (UdeM)-Hospital Research Center, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Canada, Imagerie Ultrasonore, reseau_international, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

Published
2013

48. Super-résolution d’images de la micro-architecture osseuse avec des régularisations TV d’ordre elevé

Author

Toma, Alina, Sixou, B., Pialat, J. B., Sultana, A., Buzuloiu, V., Peyrin, F., Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie, diagnostic et traitements des maladies osseuses / Pathophysiology, Diagnosis & Treatments of Bone Diseases (LYOS), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire API (LAPI), Universitatea Politehnica din Bucuresti [Bucarest, Roumanie] (UPB), and European Synchrotron Radiation Facility (ESRF)

Subjects
reseau_international, Romania, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Imagerie tomographique et thérapie par rayonnement
Abstract

International audience; De nouveaux scanners périphériques haute résolution (HR-pQCT) permettent de faire des acquisitions de la micro-architecture osseuse in vivo. Toutefois la résolution spatiale de ces appareils reste comparable à la taille des travées osseuses, ce qui limite leur analyse quantitative. Pour améliorer cette analyse nous étudions différentes méthodes de super-résolution. La super-résolution peut être formulée comme un problème linéaire inverse mal posé. Dans ce travail, nous comparons plusieurs stratégies de régularisation. Nous étudions des régularisations TV d’ordre plus élevé impliquant des opérateurs différentiels du second ordre. Ces méthodes ont suscité un grand intérêt récemment et l’on s’attend à ce qu’elles permettent d’éviter les effets d’escalier dans les images biomédicales. Ces fonctionnelles de régularisation sont basées sur les normes mixtes L1-L2 ou L1−L1. Notre méthode de minimisation est de type IRLS (Iterated Reweighted Least-Square). La validation des approches proposées est effectuée à partir d’images expérimentales micro-CT d’échantillons osseux après simulation de l’effet d’une perte de résolution spatiale. Notre méthode L1−L1 permet d’obtenir de meilleurs résultats en termes de résolution spatiale et de débruitage.

Published
2012

49. An augmented Lagrangian approach to general dictionary learning for image denoising

Author

Liu, Q G, Wang, S S, Luo, J H, Zhu, Yue-Min, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons
Published
2012

50. Influences of Bubble Motion to Second Harmonic Inversion Imaging

Author

Jacopo Viti, Francois Varray, Fanglue Lin, Olivier Basset, Christian Cachard, Francesco Guidi, R. Mori, Key Laboratory of Molecular Virology & Immunology (LMVI), Institut Pasteur de Shanghai, Académie des Sciences de Chine - Chinese Academy of Sciences (IPS-CAS), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Physics, Pulse repetition frequency, Motion compensation, Wave propagation, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Acoustics, Bubble, Labex CELYA, Second-harmonic imaging microscopy, imagerie_ultrasonore, Imagerie Ultrasonore, reseau_international, Amplitude, Italy, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Harmonics, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, High harmonic generation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

In ultrasound contrast harmonic imaging, the generated harmonics during wave propagation in tissues lead to a limited contrast-to-tissue ratio (CTR). Second-harmonic inversion (SHI), based on two 90° phase-shifted transmissions with the same frequencies and amplitudes, can effectively reduce the tissue-harmonic signals and improve CTR. However, the bubbles motion strongly influences the SHI effectiveness. Therefore, in-vitro experiments on circulating UCA were conducted to quantify the influence of moving bubbles to SHI technique, by regulating the pulse repetition frequency (PRF), in order to guarantee and to optimize the SHI technique. Experimental results show that when bubbles move in axial direction, the second-harmonic amplitudes exhibits an oscillating evolution with increasing bubbles motions. The maximum improvement reaches 12 dB when compared to SHI without bubbles motion. The influence of lateral bubbles motion is much less than the influence of axial bubbles motion.

Published
2012

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