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88 results on '"Sébastien Valette"'

51. Local Surf-Based Keypoint Transfer Segmentation

Author

Razmig Kechichian, Antoine Bralet, Sébastien Valette, 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), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), 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), Imagerie Tomographique et Radiothérapie, 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 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 Valette, Sébastien

Subjects
Image segmentation, Whole-body, Computer science, business.industry, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Probabilistic and statistical models and methods, Scale-invariant feature transform, Pattern recognition, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Transfer (computing), [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Medical imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Segmentation, Artificial intelligence, business, Whole body, 030217 neurology & neurosurgery, Selection (genetic algorithm)
Abstract

International audience; This paper presents an improvement of the keypoint transfer method for the segmentation of 3D medical images. Our approach is based on 3D SURF keypoint extraction, instead of 3D SIFT in the original algorithm. This yields a significantly higher number of keypoints, which allows to use a local segmentation transfer approach. The resulting segmentation accuracy is significantly increased, and smaller organs can be segmented correctly. We also propose a keypoint selection step which provides a good balance between speed and accuracy. We illustrate the efficiency of our approach with comparisons against state of the art methods.

Published
2021

52. The prospects for application of computational anatomy in forensic anthropology for sex determination

Author

Rémi Agier, Razmig Kéchichan, Angélique Franchi, Rémy Prost, Sébastien Valette, Laurent Fanton, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), 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 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 CCSD, Accord Elsevier

Subjects
Male, Models, Anatomic, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer science, Diagnosis tool, Models, Biological, 01 natural sciences, Common space, Pathology and Forensic Medicine, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Groupwise registration, Humans, Computer Simulation, Relevance (information retrieval), 030216 legal & forensic medicine, Body images, Pelvic Bones, Probability, Probabilistic sex diagnosis method, business.industry, 010401 analytical chemistry, Probabilistic logic, Forensic anthropology, Pattern recognition, Sex determination, Sex Determination by Skeleton, Computational anatomy, 0104 chemical sciences, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Printing, Three-Dimensional, Fully automatic, Forensic Anthropology, Female, Forensic science, Artificial intelligence, Anatomic Landmarks, Tomography, X-Ray Computed, business, Law, Algorithms
Abstract

International audience; The purpose of this study is to assess the relevance of computational anatomy for the sex determination in forensic anthropology. A novel groupwise registration algorithm is used, based on keypoint extraction, able to register several hundred full body images in a common space. Experiments were conducted on 83 CT scanners of living individuals from the public VISCERAL database. In our experiments, we first verified that the well-known criteria for sex discrimination on the hip-bone were well preserved in mean images. In a second experiment, we have tested semi-automatic positioning of anatomical landmarks to measure the relevance of groupwise registration for future research. We applied the Probabilistic Sex Diagnosis tool on the predicted landmarks. This resulted in 62% of correct sex determinations, 37% of undetermined cases, and 1% of errors. The main limiting factors are the population sample size and the lack of precision for the initial manual positioning of the landmarks in the mean image. We also give insights on future works for robust and fully automatic sex determination.

Published
2019

53. A new methodology for quantifying the surface crystallography of particles from their tomographic reconstruction: application to Pd particles embedded in a mesoporous silica shell

Author

Walid Baaziz, Sébastien Valette, Anne‐Sophie Gay, Charles Hirlimann, Ovidiu Ersen, Institut de chimie et procédés pour l'énergie, l'environnement et la santé (ICPEES), Université de Strasbourg (UNISTRA)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), 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, 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), IFP Energies nouvelles (IFPEN), Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), and ANR-15-CE09-0009,3DCLEAN,Tri-Dimensionnel Nano-laboratoire catalytique environnemental(2015)

Subjects
Materials science, Annealing (metallurgy), electron tomography, Nanoparticle, chemistry.chemical_element, 010402 general chemistry, 01 natural sciences, Catalysis, catalysts, Inorganic Chemistry, [CHIM.CRIS]Chemical Sciences/Cristallography, palladium nanoparticles, Physical and Theoretical Chemistry, surface crystallography, Tomographic reconstruction, 010405 organic chemistry, Organic Chemistry, [CHIM.CATA]Chemical Sciences/Catalysis, Mesoporous silica, 0104 chemical sciences, Faceting, Crystallography, core-shell, Electron tomography, chemistry, Transmission electron microscopy, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Palladium
Abstract

International audience; In this work, we propose an experimental approach allowing for the identification and the subsequent quantification of nanoparticles crystallographic facets, based on 3D data obtained using Transmission Electron Microscopy (TEM). The particle shape and faceting can be determined using Electron Tomography (ET) combined with High-Resolution TEM (HR-TEM). The quantitative analysis of faceting is carried out on the particles 3D model using a geometrical approach that automatically detects planar regions on particle boundaries. In order to check the reliability of our approach, we analysed palladium particles confined inside or located at the outer surface of a mesoporous silica shell (Pd@SiO2) after an annealing treatment at 250°C under H2 for 12 h. From the materials perspective, the aim of the current work is to investigate the encapsulation effect of silica (SiO2) shells on the change in morphology and faceting of palladium NPs during such annealing treatment.

Published
2020

54. Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut

Author

Michel Desvignes, Razmig Kéchichian, Sébastien Valette, 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), Images et Modèles, 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), GIPSA - Communication Information and Complex Systems (GIPSA-CICS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-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 )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-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 )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), KECHICHIAN, Razmig, 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), 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
Radiography, Abdominal, Databases, Factual, Registration, Computer science, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, spatial prior, Feature extraction, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 02 engineering and technology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Segmentation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Histogram, Cut, Abdomen, 0202 electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, X-ray imaging and computed tomography, Magnetic resonance imaging (MRI), Electrical and Electronic Engineering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, thorax, graph cut, Radiological and Ultrasound Technology, business.industry, Probabilistic logic, Pattern recognition, Atlases, Image segmentation, Magnetic Resonance Imaging, Graph, Computer Science Applications, Graph (abstract data type), Adjacency list, 020201 artificial intelligence & image processing, Radiography, Thoracic, Artificial intelligence, keypoints, business, Tomography, X-Ray Computed, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software, Algorithms
Abstract

International audience; We propose an automatic multiorgan segmentation method for 3D radiological images of different anatomical content and modality. The approach is based on a simultaneous multilabel Graph Cut optimization of location, appearance and spatial configuration criteria of target structures. Organ location is defined by target-specific probabilistic atlases (PA) constructed from a training dataset using a fast (2+1)D SURF-based multiscale registration method involving a simple 4-parameter transformation. PAs are also used to derive target-specific organ appearance models represented as intensity histograms. The spatial configuration prior is derived from shortest-path constraints defined on the adjacency graph of structures. Thorough evaluations on Visceral project benchmarks and training dataset, as well as comparisons with the state of the art confirm that our approach is comparable to and often outperforms similar approaches in multiorgan segmentation, thus proving that the combination of multiple suboptimal but complementary information sources can yield very good performance.

Published
2018

55. Thermal behavior of Pd@SiO 2 nanostructures in various gas environments: a combined 3D and in situ TEM approach

Author

Mounib Bahri, Denis Uzio, Sébastien Valette, Walid Baaziz, Alexandra Chaumonnot, Ovidiu Ersen, Charles Hirlimann, Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), Université de Strasbourg (UNISTRA)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), IFP Energies nouvelles (IFPEN), 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 de Strasbourg (UNISTRA), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), ANR-15-CE09-0009,3DCLEAN,Tri-Dimensionnel Nano-laboratoire catalytique environnemental(2015), ANR-15-CE39-0012,GraphTEX,Approche nanotechnologique innovante pour le développement de nouveaux textiles intélligents auto-detoxifiants contre les agents organophosphorés neurotoxiques de guerre et les pesticides(2015), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), 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), Belli, Catherine, Tri-Dimensionnel Nano-laboratoire catalytique environnemental - - 3DCLEAN2015 - ANR-15-CE09-0009 - AAPG2015 - VALID, and Approche nanotechnologique innovante pour le développement de nouveaux textiles intélligents auto-detoxifiants contre les agents organophosphorés neurotoxiques de guerre et les pesticides - - GraphTEX2015 - ANR-15-CE39-0012 - AAPG2015 - VALID

Subjects
Nanostructure, Materials science, [SPI] Engineering Sciences [physics], Diffusion, 02 engineering and technology, 010402 general chemistry, 01 natural sciences, [SPI]Engineering Sciences [physics], [CHIM] Chemical Sciences, [CHIM]Chemical Sciences, General Materials Science, Thermal stability, Thermal behavior of Pd@SiO2, Gas environments, [CHIM.CATA] Chemical Sciences/Catalysis, [CHIM.CATA]Chemical Sciences/Catalysis, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Nanostructures, Faceting, Chemical engineering, 13. Climate action, Transmission electron microscopy, Particle, Particle size, Crystallite, 0210 nano-technology
Abstract

International audience; The thermal stability of core–shell Pd@SiO2 nanostructures was for the first time monitored by using in situ Environmental Transmission Electron Microscopy (E-TEM) at atmospheric pressure coupled with Electron Tomography (ET) on the same particles. The core Pd particles, with octahedral or icosahedral original shapes, were followed during thermal heating under gas at atmospheric pressure. In the first step, their morphology/faceting evolution was investigated in a reductive H2 environment up to 400 °C by electron tomography performed on the same particles before and after the in situ treatment. As a result, we observed the formation of small Pd particles inside the silica shell due to the thermally activated diffusion from the core particle. A strong dependence of the shape and faceting transformations on the initial structure of the particles was evidenced. The octahedral monocrystalline NPs were found to be less stable than the icosahedral ones; in the first case, the Pd diffusion from the core towards the silica external surface led to a progressive decrease of the particle size. The icosahedral polycrystalline NPs do not exhibit a morphology/faceting change, as in this case the atom diffusion within the particle is favored against diffusion towards the silica shell, due to a high amount of crystallographic defects in the particles. In the second part, the Pd@SiO2 NPs behavior at high temperatures (up to 1000 °C) was investigated under reductive or oxidative conditions; it was found to be strongly related to the thermal evolution of the silica shell: (1) under H2, the silica is densified and loses its porous structure leading to a final state with Pd core NPs encapsulated in the shell; (2) under air, the silica porosity is maintained and the increase of the temperature leads to an enhancement of the diffusion mechanism from the core towards the external surface of the silica; as a result, at 850 °C all the Pd atoms are expelled outside the silica shell.

Published
2018

56. Thermal behavior of Pd@SiO

Author

Walid, Baaziz, Mounib, Bahri, Anne Sophie, Gay, Alexandra, Chaumonnot, Denis, Uzio, Sébastien, Valette, Charles, Hirlimann, and Ovidiu, Ersen

Abstract

The thermal stability of core-shell Pd@SiO2 nanostructures was for the first time monitored by using in situ Environmental Transmission Electron Microscopy (E-TEM) at atmospheric pressure coupled with Electron Tomography (ET) on the same particles. The core Pd particles, with octahedral or icosahedral original shapes, were followed during thermal heating under gas at atmospheric pressure. In the first step, their morphology/faceting evolution was investigated in a reductive H2 environment up to 400 °C by electron tomography performed on the same particles before and after the in situ treatment. As a result, we observed the formation of small Pd particles inside the silica shell due to the thermally activated diffusion from the core particle. A strong dependence of the shape and faceting transformations on the initial structure of the particles was evidenced. The octahedral monocrystalline NPs were found to be less stable than the icosahedral ones; in the first case, the Pd diffusion from the core towards the silica external surface led to a progressive decrease of the particle size. The icosahedral polycrystalline NPs do not exhibit a morphology/faceting change, as in this case the atom diffusion within the particle is favored against diffusion towards the silica shell, due to a high amount of crystallographic defects in the particles. In the second part, the Pd@SiO2 NPs behavior at high temperatures (up to 1000 °C) was investigated under reductive or oxidative conditions; it was found to be strongly related to the thermal evolution of the silica shell: (1) under H2, the silica is densified and loses its porous structure leading to a final state with Pd core NPs encapsulated in the shell; (2) under air, the silica porosity is maintained and the increase of the temperature leads to an enhancement of the diffusion mechanism from the core towards the external surface of the silica; as a result, at 850 °C all the Pd atoms are expelled outside the silica shell.

Published
2018

57. Decision Support for Removing Fractured Endodontic Instruments: A Patient-Specific Approach

Author

Philippe Boisse, Maxime Ducret, Cyril Villat, Sébastien Valette, Jean-Christophe Farges, Raphaël Richert, Valette, Sébastien, Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] (LaMCoS), 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)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Laboratoire de Biologie Tissulaire et d'ingénierie Thérapeutique UMR 5305 (LBTI), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Multimatériaux et Interfaces (LMI), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), 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 Tomographique et Radiothérapie, 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 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 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), Hospices Civils de Lyon, PAM Odontologie, Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de 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
Cone beam computed tomography, Decision support system, [SDV.MHEP.CHI] Life Sciences [q-bio]/Human health and pathology/Surgery, [INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO], Computer science, medicine.medical_treatment, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, lcsh:Technology, lcsh:Chemistry, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.MECA.BIOM] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph], General Materials Science, Radiation treatment planning, lcsh:QH301-705.5, Instrumentation, ComputingMilieux_MISCELLANEOUS, Fluid Flow and Transfer Processes, Mechanical impact, General Engineering, [SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph], [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Patient specific, lcsh:QC1-999, Computer Science Applications, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], 030220 oncology & carcinogenesis, Apicoectomy, medicine.medical_specialty, Finite Element Analysis, Perforation (oil well), [SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery, Instrument removal, Endodontics, 03 medical and health sciences, Surgical removal, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, medicine, Virtual treatment planning, Medical physics, lcsh:T, Process Chemistry and Technology, 030206 dentistry, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, lcsh:Engineering (General). Civil engineering (General), lcsh:Physics, Decision-making
Abstract

International audience; Aim: instrumental fracture is a common endodontic complication that is treated by surgical or non-surgical removal approaches. However, no tool exists to help the clinician to choose between available strategies, and decision-making is mostly based on clinical judgment. Digital solutions, such as Finite Element Analysis (FEA) and Virtual Treatment Planning (VTP), were recently proposed in maxillofacial surgery to help in this regard. The aim of the present paper is to present a digital tool to choose between non-surgical and surgical strategies in a clinical situation of fractured instrument (FI).Material and methods: patient tooth data were recorded using cone beam computed tomography (CBCT). VTP was conducted using an application suited for medical images to segment and plan the procedure. FEA has been carried out using the Abaqus software according to published material properties. Five models have been created: the initial state of the patient, two non-surgical removal strategies using a low or high root canal enlargement, and two surgical removal strategies using a 3-or 6-mm apicoectomy.Resuls: Results of the VTP found a risk of perforation for the non-surgical strategies and a sinus proximity for surgical ones. FEA identified the lowest mechanical risk for the 3-mm apicoectomy strategy. A 3-mm apicoectomy approach was finally chosen and performed.Conclusion: this digital approach could offer a decision tool for the instrument removal by planning the treatment and predicting the mechanical impact of each strategy.

Published
2021

58. Sparse Geometric Representation Through Local Shape Probing

Author

Sébastien Valette, Julie Digne, Raphaëlle Chaine, Modélisation Géométrique, Géométrie Algorithmique, Fractales (GeoMod), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), 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)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), 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), Agence Nationale de la Recherche, ANR-14-CE27-0003,PAPS,Contextes locaux pour le traitement de surfaces(2014), Digne, Julie, Appel à projets générique - Contextes locaux pour le traitement de surfaces - - PAPS2014 - ANR-14-CE27-0003 - Appel à projets générique - VALID, Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), 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)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-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)

Subjects
Computational Geometry (cs.CG), FOS: Computer and information sciences, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [MATH] Mathematics [math], 02 engineering and technology, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Graphics, Heat kernel signature, Local shape descriptor, Active shape model, 0202 electrical engineering, electronic engineering, information engineering, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, [MATH]Mathematics [math], ComputingMethodologies_COMPUTERGRAPHICS, business.industry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Pattern recognition, Shape similarity, Computer Graphics and Computer-Aided Design, Graphics (cs.GR), [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], Point distribution model, Signal Processing, Point set denoising and resampling, Computer Science - Computational Geometry, 68U05, 97R60, 020201 artificial intelligence & image processing, Topological skeleton, Computer Vision and Pattern Recognition, Artificial intelligence, business, Software, Surface reconstruction, Shape analysis (digital geometry), Curse of dimensionality
Abstract

International audience; We propose a new shape analysis approach based on the non-local analysis of local shape variations. Our method relies on a novel description of shape variations, called Local Probing Field (LPF), which describes how a local probing operator transforms a pattern onto the shape. By carefully optimizing the position and orientation of each descriptor, we are able to capture shape similarities and gather them into a geometrically relevant dictionary over which the shape decomposes sparsely. This new representation permits to handle shapes with mixed intrinsic dimensionality (e.g. shapes containing both surfaces and curves) and to encode various shape features such as boundaries. Our shape representation has several potential applications; here we demonstrate its efficiency for shape resampling and point set denoising for both synthetic and real data. Index Terms—Shape similarity-Local shape descriptor-Point set denoising and resampling.

Published
2018

59. Multi-atlas automatic positioning of anatomical landmarks

Author

Sébastien Valette, Hector Jacinto, Rémy Prost, Images et Modèles, 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
Landmark, Computer science, Atlas (topology), business.industry, Multi atlas, Anatomical structures, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Iterative closest point, 020207 software engineering, 02 engineering and technology, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, 020201 artificial intelligence & image processing, Computer vision, Polygon mesh, Computer Vision and Pattern Recognition, Artificial intelligence, Electrical and Electronic Engineering, business, ComputingMilieux_MISCELLANEOUS
Abstract

We propose a method for the automatic positioning of pre-defined landmarks on 3-D models of anatomical structures. We exploit a group of atlases consisting of multiple triangular meshes for which the defined landmarks have been placed by experts. We compute an initial coarse global registration of the patient mesh with an expert mesh by using a curvature-enhanced Iterative Closest Point (ICP) algorithm. Adaptive local rigid registrations refine the fit for the projection of reference landmarks onto the surface of the patient structure. An automatic selection based on a fit criterion computes a final position for each landmark. Our positioning method improves the efficiency of the positioning task, being completely unsupervised and yielding results competitive with those of the manual positioning. We provide comparisons with previous works of the literature. The automatic positioning for each target structure is completely reproducible as opposed to manual positioning, affected by intra-operator variability.

Published
2018

60. Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases

Author

Razmig Kéchichian, Sébastien Valette, and Michel Desvignes

Subjects
Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Probabilistic logic, 020207 software engineering, Pattern recognition, 02 engineering and technology, Image (mathematics), Computer Science::Computer Vision and Pattern Recognition, Cut, 0202 electrical engineering, electronic engineering, information engineering, Graph (abstract data type), Adjacency list, 020201 artificial intelligence & image processing, Segmentation, Artificial intelligence, Cluster analysis, business, Voronoi diagram
Abstract

We propose a generic method for the automatic multiple-organ segmentation of 3D images based on a multilabel graph cut optimization approach which uses location likelihood of organs and prior information of spatial relationships between them. The latter is derived from shortest-path constraints defined on the adjacency graph of structures and the former is defined by probabilistic atlases learned from a training dataset. Organ atlases are mapped to the image by a fast (2+1)D hierarchical registration method based on SURF keypoints. Registered atlases are also used to derive organ intensity likelihoods. Prior and likelihood models are then introduced in a joint centroidal Voronoi image clustering and graph cut multiobject segmentation framework. Qualitative and quantitative evaluation has been performed on contrast-enhanced CT and MR images from the VISCERAL dataset.

Published
2017

61. Self-similarity for accurate compression of point sampled surfaces

Author

Sébastien Valette, Raphaëlle Chaine, and Julie Digne

Subjects
Surface (mathematics), Self-similarity, Property (programming), business.industry, Computer science, Point cloud, 020207 software engineering, 02 engineering and technology, Computer Graphics and Computer-Aided Design, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Point (geometry), Artificial intelligence, Noise (video), business, Representation (mathematics), Algorithm, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

Most surfaces, be it from a fine-art artifact or a mechanical object, are characterized by a strong self-similarity. This property finds its source in the natural structures of objects but also in the fabrication processes: regularity of the sculpting technique, or machine tool. In this paper, we propose to exploit the self-similarity of the underlying shapes for compressing point cloud surfaces which can contain millions of points at a very high precision. Our approach locally resamples the point cloud in order to highlight the self-similarity of the shape, while remaining consistent with the original shape and the scanner precision. It then uses this self-similarity to create an ad hoc dictionary on which the local neighborhoods will be sparsely represented, thus allowing for a light-weight representation of the total surface. We demonstrate the validity of our approach on several point clouds from fine-arts and mechanical objects, as well as a urban scene. In addition, we show that our approach also achieves a filtering of noise whose magnitude is smaller than the scanner precision.

Published
2014

62. Hubless 3D medical image bundle registration

Author

Pierre Croisille, Rémi Agier, Rémy Prost, Laurent Fanton, Sébastien Valette, Centre de recherche et d'applications en traitement de l'image et du signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL) - Institut National des Sciences Appliquées Lyon (INSA Lyon) - 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), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Images et Modèles, 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
Big Data, Point of interest, Registration, Computer science, business.industry, Patient model, Points of Interest, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image registration, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Medical Imaging, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Robustness (computer science), Bundle, Medical imaging, Computer vision, 030216 legal & forensic medicine, Artificial intelligence, business, Global optimization, Prior information
Abstract

International audience; We propose a hubless medical image registration scheme, able to conjointly register massive amounts of images. Exploiting 3D points of interest combined with global optimization, our algorithm allows partial matches, does not need any prior information (full body image as a central patient model) and exhibits very good robustness by exploiting inter-volume relationships. We show the efficiency of our approach with the rigid registration of 400 CT volumes, and we provide an eye-detection application as a first step to patient image anonymization.

Published
2016

63. A simulation framework for spectral X-Ray imaging : application to the quantification of iodine in a thorax phantom

Author

Nicolas Ducros, Razmig Kéchichian, Sébastien Valette, Philippe Douek, Françoise Peyrin, 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), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Images et Modèles, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Frouin, Frédérique, 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
[SDV.IB] Life Sciences [q-bio]/Bioengineering, color CT, Spectral X-ray imaging, material decomposition, [SDV.IB]Life Sciences [q-bio]/Bioengineering
Abstract

Congrès sous l’égide de la Société Française de Génie Biologique et Médical (SFGBM).; National audience; Thanks to the recent development in spectral detectors, X-Ray spectral imaging has received increasing attention. This technique permits the quantification of the chemical components in an object. We present material decompositions obtained from realistic numerical simulations that account for the spectral response function of the detector.

Published
2015

64. Positioning of anatomical landmarks in orthopedics by MESH registration

Author

R. Kechichian, Sébastien Valette, Hector Jacinto, Rémy Prost, Images et Modèles, 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
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, business.industry, Computer science, Physics::Medical Physics, Constraint (computer-aided design), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Iterative closest point, 020207 software engineering, 02 engineering and technology, Curvature, Computer Science::Graphics, Dimension (vector space), Robustness (computer science), Computer Science::Computer Vision and Pattern Recognition, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Scale (map), ComputingMethodologies_COMPUTERGRAPHICS
Abstract

International audience; We propose a system for automatic positioning of identified landmarks on anatomical structures generated from medical images. We obtain a rigid registration of 3-D shapes using the Iterative Closest Point (ICP) algorithm where a curvature constraint is added as a supplementary dimension in order to improve robustness. A dichotomic scale search and a local rigid registration allow fast local adjustment. We show the effectiveness of the proposed approach by comparing the automatic positioning of anatomical landmarks against the manual positioning by a trained operator.

Published
2014

65. Modelling skin surface areas involved in water transfer in the Palmate Newt (Lissotriton helveticus)

Author

Laurent Oxarango, Laurent Mahieu-Williame, Pierre Joly, Sébastien Valette, Thomas Wardziak, Écophysiologie, Comportement, Conservation, Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE), Transpore, Laboratoire d'étude des transferts en hydrologie et environnement (LTHE), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), 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), Plateforme d'Imagerie Multimodale LyonTech (PILoT), 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-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), 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 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 Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
Body surface area, Transepidermal water loss, Absorption of water, amphibians, Lissotriton helveticus, Evaporation, Anatomy, Biology, biology.organism_classification, water-conserving behaviour, image processing, modelling, Water transfer, Skin surface, evaporative water loss, Animal Science and Zoology, Relative humidity, water relations, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecology, Evolution, Behavior and Systematics, Palmate Newt, Biomedical engineering
Abstract

International audience; Magnetic resonance imaging (MRI) based 3D reconstructions were used to derive accurate quantitative data on body volume and functional skin surface areas involved in water transfer in the Palmate Newt (Lissotriton helveticus (Razoumovsky, 1789)). Body surface area can be functionally divided into evaporative surface area that interacts with the atmosphere and controls the transepidermal evaporative water loss (TEWL); ventral surface area in contact with the substratum that controls transepidermal water absorption (TWA); and skin surface area in contact with other skin surfaces when amphibians adopt water-conserving postures. We generated 3D geometries of the newts via volume-rendering by a “segmentation” process carried out using a graph-cuts algorithm and a Web-based interface. The geometries reproduced the two postures adopted by the newts, i.e., an I-shaped posture characterized by a straight body without tail coiling and an S-shaped posture where the body is huddled up with the tail coiling along it. As a guide to the quality of the surface area estimations, we compared measurements of TEWL rates between living newts and their agar replicas (reproducing their two postures) at 20 °C and 60% relative humidity. Whereas the newts did not show any physiological adaptations to restrain evaporation, they expressed an efficient S-shaped posture with a resulting water economy of 22.9%, which is very close to the 23.6% reduction in evaporative surface area measured using 3D analysis.

Published
2014

66. Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases

Author

Sébastien Valette, Razmig Kéchichian, Michaël Sdika, and Michel Desvignes

Subjects
Computer science, business.industry, Probabilistic logic, Pattern recognition, Topology, Spatial relation, Computer Science::Computer Vision and Pattern Recognition, Cut, Graph (abstract data type), Adjacency list, Segmentation, Artificial intelligence, Cluster analysis, Voronoi diagram, business
Abstract

We propose a generic method for automatic multiple-organ segmentation based on a multilabel Graph Cut optimization approach which uses location likelihood of organs and prior information of spatial relationships between them. The latter is derived from shortest-path constraints defined on the adjacency graph of structures and the former is defined by probabilistic atlases learned from a training dataset. Organ atlases are mapped to the image by a fast (2+1)D hierarchical registration method based on SURF keypoints. Registered atlases are furthermore used to derive organ intensity likelihoods. Prior and likelihood models are then introduced in a joint centroidal Voronoi image clustering and Graph Cut multiobject segmentation framework. Qualitative and quantitative evaluation has been performed on contrast-enhanced CT images from the Visceral Benchmark dataset.

Published
2014

67. Shortest-path constraints for 3D multiobject semiautomatic segmentation via clustering and Graph Cut

Author

Sébastien Valette, Michel Desvignes, Razmig Kéchichian, Rémy Prost, Valette, Sébastien, 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), GIPSA - Architecture, Géométrie, Perception, Images, Gestes (GIPSA-AGPIG), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Région Rhone Alpes (SIMED), 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
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, 02 engineering and technology, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, Pattern Recognition, Automated, 03 medical and health sciences, 0302 clinical medicine, Imaging, Three-Dimensional, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Artificial Intelligence, Cut, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Segmentation, Cluster analysis, Mathematics, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, business.industry, Segmentation-based object categorization, Reproducibility of Results, Pattern recognition, Numerical Analysis, Computer-Assisted, Image segmentation, Image Enhancement, Computer Graphics and Computer-Aided Design, Region growing, 020201 artificial intelligence & image processing, Artificial intelligence, business, Connected-component labeling, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software, Algorithms
Abstract

International audience; We derive shortest-path constraints from graph models of structure adjacency relations and introduce them in a joint centroidal Voronoi image clustering and Graph Cut multiobject semiautomatic segmentation framework. The vicinity prior model thus defined is a piecewise-constant model incurring multiple levels of penalization capturing the spatial configuration of structures in multiobject segmentation. Qualitative and quantitative analyses and comparison with a Potts prior-based approach and our previous contribution on synthetic, simulated, and real medical images show that the vicinity prior allows for the correct segmentation of distinct structures having identical intensity profiles and improves the precision of segmentation boundary placement while being fairly robust to clustering resolution. The clustering approach we take to simplify images prior to segmentation strikes a good balance between boundary adaptivity and cluster compactness criteria furthermore allowing to control the trade-off. Compared with a direct application of segmentation on voxels, the clustering step improves the overall runtime and memory footprint of the segmentation process up to an order of magnitude without compromising the quality of the result.

Published
2013

68. A web interface for 3D visualization and interactive segmentation of medical images

Author

Michel Desvignes, Hector Jacinto, Rémy Prost, Sébastien Valette, Razmig Kéchichian, Images et Modèles, 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), GIPSA - Architecture, Géométrie, Perception, Images, Gestes (GIPSA-AGPIG), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), 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 Valette, Sébastien

Subjects
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, 02 engineering and technology, HTML5, 3D rendering, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, meshing, Computer graphics (images), Digital image processing, WebGL, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Segmentation, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, business.industry, segmentation, web interface, 020207 software engineering, Image segmentation, Visualization, Remote procedure call, graph-cuts, 020201 artificial intelligence & image processing, Artificial intelligence, User interface, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, clustering
Abstract

International audience; We propose a web-accessible image visualization and processing framework well-suited for medical applications. Exploiting client-side HTML5 and WebGL technologies, our proposal allows the end-user to efficiently browse and visualize volumic images in an Out-Of-Core (OOC) manner, annotate and apply server-side image processing algorithms and interactively visualize 3D medical models. Server-side implementation is driven by a file-based, simple, robust and flexible Remote Procedure Call (RPC) scheme well suited for heterogeneous applications. We demonstrate the efficiency of our approach with both an interactive medical image segmentation and a 3D rendering of segmented anatomical structures. As a secondary contribution, we improve the segmentation algorithm with the introduction of user-defined anatomical priors.

Published
2012

69. Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)

Author

Svenja Specovius, Germain Forestier, Sorina Camarasu-Pop, Patrick Hugonnard, Patrick Clarysse, Hugues Benoit-Cattin, Adrien Marion, Carole Lartizien, Denis Friboulet, Rafael Ferreira da Silva, Herve Liebgott, Joachim Tabary, Sébastien Valette, Bernard Gibaud, Tristan Glatard, 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), Vision, Action et Gestion d'informations en Santé (VisAGeS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Forestier, Germain, and 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)

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], business.industry, Computer science, Data parallelism, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, computer.file_format, Grid, Data modeling, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Software, Workflow, Computer architecture, Medical imaging, Computer vision, Artificial intelligence, Executable, User interface, business, computer
Abstract

International audience; This paper describes a framework for the integration of medical image simulators in the Virtual Imaging Platform (VIP). Simulation is widely involved in medical imaging but its availability is hampered by the heterogeneity of software interfaces and the required amount of computing power. To address this, VIP defines a simulation workflow template which transforms object models from the IntermediAte Model Format (IAMF) into native simulator formats and parallelizes the simulation computation. Format conversions, geometrical scene definition and physical parameter generation are covered. The core simulator executables are directly embedded in the simulation workflow, enabling data parallelism exploitation without modifying the simulator. The template is instantiated on simulators of the four main medical imaging modalities, namely Positron Emission Tomography, Ultrasound imaging, Magnetic Resonance Imaging and Computed Tomography. Simulation examples and performance results on the European Grid Infrastructure are shown.

Published
2011

70. Mesh simplification using an accurate measured quadratic error

Author

Vasile Buzuloiu, Elena Ovreiu, Rémy Prost, and Sébastien Valette

Subjects
Surface (mathematics), Vertex (computer graphics), Mathematical optimization, Position (vector), Mesh generation, Iterative method, Process (computing), Edge (geometry), Measure (mathematics), Algorithm, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics
Abstract

In this paper we propose a new surface simplification algorithm which produces high quality approximations of the original models. The geometric simplification is based on iterative edge contractions. To get a simplified mesh which fairly fits the original one, we introduce an accurate measure of quadratic error to characterize the geometric deviation introduced by edge collapse. In addition, we propose a vertex optimization process which moves the new vertex towards an optimized position.

Published
2011

71. 3-D mesh sequence compression using wavelet-based multi-resolution analysis

Author

Sébastien Valette, Rémy Prost, Jae W. Cho, H. Y. Jung, Ju H. Park, Images et Modèles, 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
Applied Mathematics, Numerical analysis, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Wavelet transform, 020207 software engineering, Data_CODINGANDINFORMATIONTHEORY, 02 engineering and technology, Computational Mathematics, Wavelet, Redundancy (information theory), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Mesh generation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Algorithm, Differential coding, ComputingMilieux_MISCELLANEOUS, Image compression, Data compression, Mathematics
Abstract

In this paper, we present two compression methods for irregular three-dimensional (3-D) mesh sequences with constant connectivity. The proposed methods mainly use an exact integer spatial wavelet analysis (SWA) technique to efficiently decorrelate the spatial coherence of each mesh frame and also to adaptively transmit mesh frames with various spatial resolutions. To reduce the temporal redundancy, the first proposed method applies multi-order differential coding (MDC) to the temporal sequences obtained from SWA. MDC determines the optimal order of the differential coder by analyzing the variance of prediction errors. Comparing with the first order differential coding (FDC) scheme, the method can improve the compression performance. The second proposed method applies temporal wavelet analysis (TWA) to the temporal sequences. In particular, this method offers spatio-temporal multi-resolution coding. Through simulations, we prove that our methods enable efficient lossy-to-lossless compression for 3-D mesh sequences in a single frame work.

Published
2010

72. Compression of Static and Dynamic 3D Surface Meshes

Author

Francoise Preteux, Rémy Prost, Sébastien Valette, and Khaled Mamou

Subjects
Surface (mathematics), Computer science, Compression (functional analysis), Computer graphics (images), Isosurface, Polygon mesh
Published
2010

73. Exploiting curvature to compute the medial axis with Constrained Centroidal Voronoi Diagram on discrete data

Author

Sébastien Valette, Bassem Khaddour, Nicolas Siauve, Rémy Prost, Julien Dardenne, 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), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), 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)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SPI.NRJ]Engineering Sciences [physics]/Electric power, 020207 software engineering, 0102 computer and information sciences, 02 engineering and technology, Computer Science::Computational Geometry, Lloyd's algorithm, Topology, Curvature, 01 natural sciences, Weighted Voronoi diagram, 010201 computation theory & mathematics, Medial axis, 0202 electrical engineering, electronic engineering, information engineering, Power diagram, mage & Video Segmentation, Centroidal Voronoi tessellation, Voronoi diagram, Clustering-based method, Distance transform, ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract

In this paper, we present a novel method for medial axis approximation based on Constrained Centroidal Voronoi Diagram of discrete data (image, volume). The proposed approach is based on the shape boundary subsampling controled by a clustering approach which generates a Voronoi Diagram well suited for Medial Axis extraction. The resulting Voronoi Diagram is further filtered in order to capture the correct topology of the medial axis. The main contribution of this paper is the integration of both a curvature maps and a distance map for controlling the local variability of Voronoi cells densities. Examples of complex shape processing prove the effectiveness of the proposed approach.

Published
2009

74. Realistic X-ray CT simulation of the XCAT phantom with SINDBAD

Author

W. Paul Segars, Joachim Tabary, Carole Lartizien, Sébastien Valette, S. Marache-Francisco, Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), 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-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), MedisysResearch Lab (Medisys), Philips Research, Department of Radiology, Duke University [Durham], Laboratoire d'Electronique et des Technologies de l'Information ( CEA-LETI ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Grenoble Alpes [Saint Martin d'Hères], 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 ), MedisysResearch Lab ( Medisys ), Duke university [Durham], 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)-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)

Subjects
Physics, Scanner, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, business.industry, Computation, Monte Carlo method, Detector, Physics::Medical Physics, Solid modeling, computer.software_genre, Imaging phantom, 030218 nuclear medicine & medical imaging, Simulation software, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Computer vision, Artificial intelligence, business, Projection (set theory), computer
Abstract

International audience; An efficient simulation tool is developed to generate realistic X-ray CT images, including a good modeling of physics and a very detailed anthropomorphic model in a reasonable computing time. This simulation tool consists in a coupling of the existing X-ray radiographic simulation software SINDBAD with the extended NURBS-Based Cardiac-Torso (XCAT) phantom. Both primary and scatter contributions in X-ray CT projections are calculated thanks to a combination of analytical and Monte Carlo approaches. The representation of the XCAT phantom is adapted to the level of resolution required by the primary and scatter images. We present in this paper first X-ray CT projection data which are simulated under an angiography configuration. Although the XCAT phantom is complex, the computation time is reasonable, even with the estimation of the scatter radiation. In future studies, similar simulations will be performed in real clinical CT scanner conditions, with an accurate modelling of detectors and a finer representation of the XCAT phantom, and will be compared with real X-rays CT images for validation.

Published
2009

75. Variational implicit surface meshing

Author

Rémy Prost, Sébastien Valette, Wieslaw L. Nowinski, Arnaud Gelas, Harvard Medical School [Boston] (HMS), Biomedical Imaging Lab, Agency for Science, Technology and Research, 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-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Valette, Sébastien, Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Mathematical optimization, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, General Engineering, Triangulation (social science), Initialization, Sampling (statistics), 020207 software engineering, 02 engineering and technology, Curvature, Surface (topology), Computer Graphics and Computer-Aided Design, Vertex (geometry), Human-Computer Interaction, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Polygon mesh, Relaxation (approximation), Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery, Mathematics, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

Proceedings of IEEE International Conference on Shape Modeling and Applications SMI 2009; International audience; In this paper, we propose a new algorithm to mesh implicit surfaces which produces meshes both with a good triangle aspect ratio as well as a good approximation quality. The number of vertices of the output mesh is defined by the end-user. For this goal, we perform a two-stage processing : an initialization step followed by an iterative optimization step. The initialization step consists in capturing the surface topology and allocating the vertex budget. The optimization algorithm is based on a variational vertices relaxation and triangulation update. In addition a gradation parameter can be defined to adapt the mesh sampling to the curvature of the implicit surface. We demonstrate the efficiency of the approach on synthetic models as well as real-world acquired data, and provide comparisons with previous approaches.

Published
2009

76. Variational tetrahedral mesh generation from discrete volume data

Author

Sébastien Valette, Noël Burais, Nicolas Siauve, Julien Dardenne, Rémy Prost, 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), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), 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)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Images et Modèles, 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), Valette, Sébastien, Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), 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 Ampère, Publications

Subjects
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Geometry, 0102 computer and information sciences, 02 engineering and technology, Dihedral angle, Topology, computer.software_genre, 01 natural sciences, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Voxel, 0202 electrical engineering, electronic engineering, information engineering, 5-cell, Polygon mesh, Cluster analysis, Mathematics, ComputingMethodologies_COMPUTERGRAPHICS, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020207 software engineering, Computer Graphics and Computer-Aided Design, Finite element method, Vertex (geometry), Computer Science::Graphics, 010201 computation theory & mathematics, Tetrahedron, Computer Vision and Pattern Recognition, computer, Software, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Abstract

International audience; In this paper, we propose a novel tetrahedral mesh generation algorithm, which takes volumic data (voxels) as an input. Our algorithm performs a clustering of the original voxels within a variational framework. A vertex replaces each cluster and the set of created vertices is triangulated in order to obtain a tetrahedral mesh, taking into account both the accuracy of the representation and the elements quality. The resulting meshes exhibit good elements quality with respect to minimal dihedral angle and tetrahedra form factor. Experimental results show that the generated meshes are well suited for Finite Element Simulations.

Published
2009

77. 3-D Dynamic Mesh Compression using Wavelet-Based Multiresolution Analysis

Author

Min-Su Kim, Sébastien Valette, Rémy Prost, Ho-Youl Jung, and Jae-Won Cho

Subjects
Lossless compression, business.industry, Multiresolution analysis, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Wavelet transform, Pattern recognition, Data_CODINGANDINFORMATIONTHEORY, Lossy compression, Wavelet, Redundancy (information theory), Artificial intelligence, business, ComputingMethodologies_COMPUTERGRAPHICS, Image compression, Mathematics, Data compression
Abstract

In this paper, we present a wavelet-based progressive compression method for 3-D dynamic meshes. Our method exploits the spatial and temporal redundancy. We encode the geometry of base mesh, the wavelet coefficients and the connectivity of each resolution level in order to reduce the spatial redundancy of intra meshes. For inter mesh coding, we encode the differences of geometry of base meshes and of their wavelet coefficients between adjacent frames to reduce the temporal redundancy. Our proposal is based on the wavelet-based multiresolution analysis which uses a perfect reconstruction filter bank and therefore it enables not only progressive representation but also lossless compression. The simulation results demonstrate that the proposed method is applicable to lossy and lossless compression of 3-D dynamic meshes.

Published
2006

78. Remeshing algorithm for multiresolution prior model in segmentation

Author

Alexandre Gouaillard, Sébastien Valette, E. Boix, Takashi Kanai, Arnaud Gelas, and Rémy Prost

Subjects
Tessellation (computer graphics), Computer Science::Graphics, Mesh generation, Multiresolution analysis, Triangle mesh, Image segmentation, Laplacian smoothing, T-vertices, Algorithm, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics::Numerical Analysis, Mathematics, Parametric statistics
Abstract

We consider the construction of a multiresolution triangular mesh for 3D model-based segmentation. In the 3D Snake approach this model needs to be both uniform and regular for convergence purposes. We propose here a remeshing algorithm to compute such a model from an arbitrary triangular mesh. The input mesh is first parameterized in 2D. The output mesh connectivity is fixed by a subdivided base mesh. Its geometry comes from the input mesh via the parametric domain tessellation with respect to uniformity constraints. Experiments were carried out with both synthetic and organ models. They prove the low geometry remeshing error and the uniformity of the resulting mesh.

Published
2005

79. Curvature-based adaptive remeshing for wavelet-based multiresolution 3D meshes

Author

E. Boix, Rémy Prost, Alexandre Gouaillard, Arnaud Gelas, and Sébastien Valette

Subjects
business.industry, Second-generation wavelet transform, Wavelet transform, Cascade algorithm, Curvature, Wavelet packet decomposition, Wavelet, Polygon mesh, Computer vision, Artificial intelligence, business, Algorithm, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics, Subdivision
Abstract

Most of the meshes coming from a variety of source are over sampled and exhibit highly irregular connectivity that prevent efficient wavelet analysis. Remeshing comes as a solution to sampling and connectivity optimization with respect to the geometry. The main drawback of existing subdivision remeshing approaches is the lack of control either on the number of triangles or on the geometrical error. We propose a new remeshing scheme that directly produces wavelet-based multiresolution meshes which does not suffer from the previous limitations. We provide a finer control on the resulting number of triangles by using an adaptive subdivision scheme. We also show a lowering of the local resulting geometrical error by using a new curvature-based subdivision criterion.

Published
2005

80. Mesh-based video objects tracking combining motion and luminance discontinuities criteria

Author

Isabelle E. Magnin, Sébastien Valette, Rémy Prost, 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), 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
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Boundary (topology), 02 engineering and technology, Classification of discontinuities, Tracking (particle physics), Luminance, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Motion estimation, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics, business.industry, 020206 networking & telecommunications, Object detection, Control and Systems Engineering, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Signal Processing, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Distance transform, Software, Energy (signal processing)
Abstract

A new content-based mesh design algorithm for video objects segmentation and tracking is proposed. The algorithm moves the mesh nodes along motion or luminance discontinuities in order to fit the objects boundaries. The motion inside adjacent triangular cells is estimated by competitive forward-backward matching. This approach allows the displacements of the nodes without the remeshing of occlusion regions: uncovered background nor background to be covered. The mesh is deformed under the minimization of an objective function. This function includes a motion energy, a spatial boundary energy and a temporal regularization energy. The motion energy is effective in textured regions while the boundary energy mainly operates in homogeneous one according to a boundary distance map. The temporal regularization energy keeps the objects tracking stable along the sequence due to its object-based approach. Experimental results with both synthetic and real-world sequences prove the efficiency of the proposed approach and the cooperative action of the three energy terms.

Published
2004

81. Compression of 3D Triangular Meshes with Progressive Precision

Author

Alexandre Gouaillard, Sébastien Valette, Rémy Prost, 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-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Valette, Sébastien, Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Floating point, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, General Engineering, 020207 software engineering, Geometry, 02 engineering and technology, Volume mesh, Data_CODINGANDINFORMATIONTHEORY, Lossy compression, Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Transformation (function), Wavelet, Computer Science::Graphics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Compression (functional analysis), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Polygon mesh, Quantization (image processing), Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Mathematics, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

International audience; In this paper we introduce a novel approach for progressive transmission of three-dimensional (3D) triangular meshes. This algorithm is based on a new reversing approach of the irregular mesh subdivision that enables a wavelet representation of any mesh geometry. In this paper, we show how to achieve progressive compression of 3D models by transmitting more and more wavelet coef cients computed from the original mesh vertices coordinates. The connectivity of the reconstructed mesh remains the same as the original one, but its geometry is progressively re ned by means of bitplane encoding. This approach processes directly oating point coordinates which is the most common representation for 3D meshes, and does not need quantization, which is a lossy transformation. Experimental results are given and demonstrate the efficiency of our encoding scheme versus other approaches.

Published
2004

82. A Wavelet-Based Progressive Compression Scheme For Triangle Meshes : Wavemesh

Author

Rémy Prost, Sébastien Valette, 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-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Valette, Sébastien, 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)-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, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, 02 engineering and technology, Volume mesh, Data_CODINGANDINFORMATIONTHEORY, Lossy compression, Sensitivity and Specificity, Pattern Recognition, Automated, User-Computer Interface, Imaging, Three-Dimensional, Wavelet, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Image Interpretation, Computer-Assisted, Computer Graphics, 0202 electrical engineering, electronic engineering, information engineering, Computer Simulation, Computer vision, Polygon mesh, Image resolution, ComputingMethodologies_COMPUTERGRAPHICS, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Lossless compression, business.industry, Reproducibility of Results, Wavelet transform, Numerical Analysis, Computer-Assisted, Signal Processing, Computer-Assisted, 020207 software engineering, Data Compression, Image Enhancement, Computer Graphics and Computer-Aided Design, Signal Processing, Computer-Aided Design, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithms, Software, Data compression
Abstract

International audience; This paper proposes a new lossy to lossless progressive compression scheme for triangular meshes, based on a wavelet multiresolution theory for irregular 3D meshes. Although remeshing techniques obtain better compression ratios for geometric compression, this approach can be very effective when one wants to keep the connectivity and geometry of the processed mesh completely unchanged. The simplification is based on the solving of an inverse problem. Optimization of both the connectivity and geometry of the processed mesh improves the approximation quality and the compression ratio of the scheme at each resolution level. We show why this algorithm provides an efficient means of compression for both connectivity and geometry of 3D meshes and it is illustrated by experimental results on various sets of reference meshes, where our algorithm performs better than previously published approaches for both lossless and progressive compression.

Published
2004

83. Local wavelets decomposition for 3-D surfaces

Author

Ho-Youl Jung, Rémy Prost, Yun-Sang Kim, and Sébastien Valette

Subjects
Discrete wavelet transform, Mathematical optimization, Lifting scheme, Computer science, business.industry, Second-generation wavelet transform, Curvature, Filter bank, Computer graphics, Computer Science::Graphics, Mesh generation, Triangle mesh, Subdivision surface, business, Algorithm, ComputingMethodologies_COMPUTERGRAPHICS, Subdivision
Abstract

We propose a wavelet based local subdivision of 3-D surfaces, which can be effectively applied to a mesh with complex and high curvature faces. The proposed approach is an extension of M. Lounsbery's works (1994), which has been developed only for regular triangular mesh subdivision. For such a purpose, a bi-orthogonal wavelet basis is constructed by defining a local inner product and using the lifting scheme. As only one filter bank is used for the global and local analysis of the surface and also one filter bank for synthesis, this method is very effective. Through the computer simulation tested on some example mesh, we show that the proposed local subdivision is very effective.

Published
2003

84. AN EFFICIENT SUBDIVISION INVERSION FOR WAVEMESH-BASED PROGRESSIVE COMPRESSION OF 3D TRIANGLE MESHES

Author

Jarek Rossignac, Sébastien Valette, Rémy Prost, 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-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), School of Interactive Computing & GVU Center, Georgia Institute of Technology, Georgia Institute of Technology [Atlanta], Valette, Sébastien, Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Lossless compression, Theoretical computer science, Texture compression, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, 020207 software engineering, 02 engineering and technology, Data_CODINGANDINFORMATIONTHEORY, Lossy compression, T-vertices, Computer Science::Graphics, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Triangle mesh, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Polygon mesh, Algorithm, Image compression, Data compression, Mathematics, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

International audience; Wavemesh is a powerful scheme for 3D triangular mesh processing. In sharp contrast with other approaches using wavelets for mesh compression which apply only to meshes having subdivision connectivity, Wavemesh can simplify, approximate, and compress meshes even if they do not respect this constraint. Results clearly indicate that Wavemesh outperforms the other approaches in terms of progressive lossless compression. We propose in this paper an improvement for our scheme : higher efficiency for meshes with large subdivision connectivity sets, as shown by experimental results. Also, in some cases, the enhanced Wavemesh can even perform better than mono-resolution approaches in terms of connec-tivity compression.

Published
2003

85. Active mesh for video segmentation and objects tracking

Author

Isabelle E. Magnin, Rémy Prost, and Sébastien Valette

Subjects
Motion compensation, Segmentation-based object categorization, business.industry, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Image segmentation, Video compression picture types, Quarter-pixel motion, Rate–distortion optimization, Computer Science::Computer Vision and Pattern Recognition, Video tracking, Motion estimation, Segmentation, Computer vision, Artificial intelligence, Multiview Video Coding, business, ComputingMethodologies_COMPUTERGRAPHICS, Data compression, Block-matching algorithm
Abstract

The new MPEG-4 standard will provide superior services for the user, as it introduces the video objects concept. However, there is no generic segmentation technique able to provide the segmentation maps for such a coding system. We propose a novel mesh-based video segmentation and objects tracking algorithm with both robust motion estimation and modeling of motion discontinuities. In addition, occlusions and uncovered regions are well managed. This allows the mesh deformation without the need to process remeshing in motion occlusion regions. The spatial properties of each frame are considered to make the mesh edges fit the image contents and a temporal smoothness constraint is also implemented. The proposed algorithm is able to segment multiple objects at the same time. Some experimental results are shown.

Published
2002

86. Active mesh texture coding based on warping and DCT

Author

A.C. Planat, P.R. Joachimsmann, Rémy Prost, Hugues Benoit-Cattin, Atilla Baskurt, and Sébastien Valette

Subjects
business.industry, Image quality, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, computer.file_format, JPEG, Computer Science::Graphics, Image texture, Computer Science::Computer Vision and Pattern Recognition, Discrete cosine transform, Polygon mesh, Computer vision, Artificial intelligence, Image warping, business, Quantization (image processing), computer, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics, Coding (social sciences)
Abstract

In this paper, we consider the texture coding of quadrangular cells which compose active meshes. Active mesh algorithms which have been developed for region based video coding mainly use interpolation techniques to quantize the cell texture. We propose a new quantization scheme which associates image warping and an adaptive JPEG scheme. Our approach leads to an interesting trade-off between mesh complexity and image quality.

87. Adaptive wavelets based multiresolution modeling of irregular meshes via harmonic maps

Author

Sébastien Valette, Rémy Prost, and Yun-Sang Kim

Subjects
Computer science, business.industry, Multiresolution analysis, MathematicsofComputing_NUMERICALANALYSIS, Solid modeling, Curvature, Complex geometry, Wavelet, Mesh generation, Computer graphics (images), Triangle mesh, Polygon mesh, business, Geometric modeling, Algorithm, ComputingMethodologies_COMPUTERGRAPHICS, Subdivision
Abstract

We propose an adaptive wavelets based multiresolution scheme by using harmonic maps for 3D irregular meshes. This approach extends the previous works by M. Eck et al. (see SIGGRAPH '95, p.173-82, 1995) and M. Lounsbery (see "Multiresolution Analysis for Surfaces of Arbitrary Topological Type", PhD thesis, Department of Computer Science and Engineering, University of Washington, p.129, 1994) which have been developed for regular triangular mesh subdivision. First, we construct parameterizations of the original mesh that results in a remesh having a subdivision connectivity for the wavelets decomposition. Next, the local subdivision based multiresolution scheme is presented. Our algorithm represents effectively a region of interest or a region having complex and high curvature geometry by using bi-orthogonal wavelets. Through the computer simulation tested on some example meshes, we show that the proposed method is more effective than the previous regular subdivision methods.

88. Accurate 3D Mesh Simplification

Author

Ovreiu , Elena, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), 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-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 ), INSA Lyon, Rémy Prost, and Sébastien Valette

Subjects
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, edge collapse, accurate metric, symmetric metric, mesh simplification, simplification de maillages
Abstract

Complex 3D digital objects are used in many domains such as animation films, scientificvisualization, medical imaging and computer vision. These objects are usually represented bytriangular meshes with many triangles. The simplification of those objects with the target to keepthem as close as possible to the original ones has received a lot of attention in the last years.In this context, we propose a simplification algorithm which is focused on the accuracy of thesimplifications. The mesh simplification uses edges collapses with vertex relocation by minimizing anerror metric. Accuracy is obtained with the two error metrics we use: the Accurate Measure ofQuadratic Error (AMQE) and the Symmetric Measure of Quadratic Error (SMQE).AMQE is computed as the weighted sum of squared distances between the simplified mesh and theoriginal one. Accuracy of the measure of the geometric deviation introduced in the mesh by an edgecollapse is given by the distances between surfaces. The distances are computed in between samplepoints of the simplified mesh and the faces of the original one.SMQE is similar to the AMQE method but computed in the both, direct and reverse directions, i.e.simplified to original and original to simplified meshes. The SMQE approach is computationnalymore expensive than the AMQE but the advantage of computing the AMQE in a reverse way resultsin the preservation of boundaries, sharp features and isolated regions of the mesh.For both measures we obtain better results than methods proposed in the literature.; RESUME EN FRANCAISLes objets numériques 3D sont utilisés dans de nombreux domaines, les films d’animations, lavisualisation scientifique, l’imagerie médicale, la vision par ordinateur.... Ces objets sontgénéralement représentés par des maillages à faces triangulaires avec un nombre énorme de triangles.La simplification de ces objets, avec préservation de la géométrie originale, a fait l’objet de nombreuxtravaux durant ces dernières années.Dans cette thèse, nous proposons un algorithme de simplification qui permet l’obtention d’objetssimplifiés de grande précision. Nous utilisons des fusions de couples de sommets avec unerelocalisation du sommet résultant qui minimise une métrique d’erreur. Nous utilisons deux types demesures quadratiques de l’erreur : l’une uniquement entre l’objet simplifié et l’objet original(Accurate Measure of Quadratic Error (AMQE) ) et l’autre prend aussi en compte l’erreur entrel’objet original et l’objet simplifié ((Symmetric Measure of Quadratic Error (SMQE)) . Le coûtcalculatoire est plus important pour la seconde mesure mais elle permet une préservation des arêtesvives et des régions isolées de l’objet original par l’algorithme de simplification. Les deux mesuresconduisent à des objets simplifiés plus fidèles aux originaux que les méthodes actuelles de lalittérature.

Published
2012

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