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301. Ultrasonic characterization of human cancellous bone using transmission and backscatter measurements: relationships to density and microstructure

Author

Chaffaı, S., Peyrin, F., Nuzzo, S., Porcher, R., Berger, G., and Laugier, P.

Subjects
*BONE diseases, *SYNCHROTRONS, *TOMOGRAPHY
Abstract

The present study was designed to evaluate the relationships between ultrasonic backscatter, density, and microarchitecture of cancellous bone. The slopes of the frequency-dependent attenuation coefficient (nBUA), ultrasound bone velocity (UBV), the frequency-averaged backscatter coefficient (BUB) were measured in 25 cylindrical cancellous bone cores. Bone mineral density (BMD) was determined using X-ray quantitative computed tomography. Microarchitecture was investigated with synchrotron radiation microtomography with an isotropic spatial resolution of 10 μm. Several microstructural parameters reflecting morphology, connectivity, and anisotropy of the specimens were derived from the reconstructed three-dimensional (3D) microarchitecture. The association of the ultrasonic variables with density and microarchitecture was assessed using simple and multivariate linear regression techniques. For all ultrasonic variables, a strong association was found with density (r = 0.84–0.90). We also found that, with the exception of connectivity, all microstructural parameters correlated significantly with density, with r values of 0.54–0.92. For most microstructural parameters there was a highly significant correlation with ultrasonic parameters (r = 0.33–0.91). However, the additional variance explained by microstructural parameters compared with the variance explained by BMD alone was small (Δr2 = 6% at best). In particular, no significant independent association was found between microstructure and backscatter coefficient (a microstructure-related ultrasonic parameter) after adjustment for density. The source for the unaccounted variance of quantitative ultrasound (QUS) parameters remains unknown. [ABSTRACT FROM AUTHOR]

Published
2002

306. Kinetics of In VivoBone Deposition by Bone Marrow Stromal Cells into Porous Calcium Phosphate Scaffolds: An X-Ray Computed Microtomography Study

Author

Komlev, V.S., Peyrin, F., Mastrogiacomo, M., Cedola, A., Papadimitropoulos, A., Rustichelli, F., and Cancedda, R.

Abstract

In a typical bone tissue engineering application, osteogenic cells are harvested and seeded on a three-dimensional (3D) synthetic scaffold that acts as guide and stimulus for tissue growth, creating a tissue engineering construct or living biocomposite. Despite the large number of performed experiments in different laboratories, information on the kinetics of bone growth into the scaffolds is still scarce. Highly porous hydroxyapatite scaffolds were investigated before the implantation and after they were seeded with in vitroexpanded bone marrow stromal cells (BMSC) and implanted for 8, 16, or 24 weeks in immunodeficient mice. Synchrotron x-ray computed microtomography (microCT) was used for qualitative and quantitative 3D characterization of the scaffold material and 3D evaluation of tissue engineered bone growth kinetics after in vivoimplantation. Experiments were performed taking advantage of a dedicated set up at the European Synchrotron Radiation Facility (ESRF, Grenoble, France), which allowed quantitative imaging at a spatial resolution of about 5 lm. A peculiarity of these experiments was the fact that at first the data were obtained on the different pure scaffolds, then the same scaffoldswere seeded by BMSC, implanted, and brought again to ESRF for investigating the formation of new bone. The volume fraction, average thickness, and distribution of the newly formed bone were evaluated as a function of the implantation time. New bone thickness increased from week 8 to week 16, but deposition of new bone was arrested from week 16 to week 24. Instead, mineralization of the newly deposited bone matrix continued up to week 24.

Published
2006
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307. Equivalence between the two-dimensional real and analytic signal Wigner distributions

Author

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

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons
Published
1989

308. Transformation de Wigner-Ville: Description d\\backslashtextquoteright\un nouvel outil de traitement du signal et des images

Author

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

Subjects
reseau_international, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, categ_mixte, Imagerie Coeur - Vaisseaux - Poumons
Published
1987

309. Cell Therapy of bone

Author

Cancedda, R., Maddalena Mastrogiacomo, Giannoni, P., Alini, M., Pearce, S., Cedola, A., Papadimitropoulos, A., Peyrin, F., Komlev, V., and Rustichelli, F.

310. Nouvelle technique d'imagerie cérébrale microscopique: l'imagerie par rayonnement synchrotron chez la souris

Author

Chabrol, A., Marinescu, M., Rositi, H., Langer, M., Durand, A., Cécile Olivier, Nighoghossian, N., Berthezène, Y., Peyrin, F., Marlene Wiart, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), European Synchrotron Radiation Facility (ESRF), 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), and Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE)

Subjects
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

312. Region growing: Adolescence and adulthood: Two visions of region growing: In feature space and variational framework

Author

Revol-Muller, C., Grenier, T., Rose, J. L., Alexandra Pacureanu, Peyrin, F., Odet, C., 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), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Synchrotron Radiation Facility (ESRF), Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-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
Images et Modèles, categₛt2i, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS, Labex PRIMES
Abstract

International audience

313. PIXSCAN: Pixel detector CT scanner for small animal imaging

Author

Delpierre, P., Basolo, S., Berar, J. F., Bonissent, A., Breugnon, P., Boudet, N., Caillot, B., Clemens, J. C., Debarbieux, F., Dinkespiler, B., Khouri, R., Koudobine, I., Matarazzo, V., Meessen, C., Menouni, M., Morel, C., Mouget, C., Pangaud, P., Peyrin, F., Rougon, G., Dominic Sappey-Marinier, Valton, S., and Vigeolas, E.

314. Binary tomography reconstruction from few projections with level-set regularization methods for bone microstucture study

Author

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

Subjects
inverse problems, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, X-ray imaging, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, discrete tomography, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, level-set regularization
Abstract

International audience; Discrete tomography refers to a class of reconstruction methods adapted to discrete-valued images. A number of methods have specifically been developed to address the binary case, when a two-phase object is considered. This problem may arise in different medical applications such as vascular or bone imaging where the goal is to reduce the number of projections. In this paper, we address the problem of binary image reconstruction for X-ray CT imaging from a small number of projections. We propose two new schemes based on level-set regularization. In the first approach, the binary tomography problem is formulated as a nonlinear inverse problem and regularized with Bounded Variation-Sobolev terms.A second level-set type method is investigated which includes the binary constraints in an augmented Lagrangian. For comparison, we consider a classical TV regularization method. The three schemes are applied to a simple disk image and to bone cross-sections images of various size without and with an additive Gaussian noise. The best binary reconstruction results are obtained with the TV algorithm for the simple disk image. Lower reconstruction errors are achieved with the level-set approaches methods for a more complex bone geometry and for the higher noise levels.

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