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32 results on '"Cathier, Pascal"'

2. Synthetic Echocardiographic Image Sequences for Cardiac Inverse Electro-Kinematic Learning

Author

Prakosa, Adityo, Sermesant, Maxime, Delingette, Hervé, Saloux, Eric, Allain, Pascal, Cathier, Pascal, Etyngier, Patrick, Villain, Nicolas, Ayache, Nicholas, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Fichtinger, Gabor, editor, Martel, Anne, editor, and Peters, Terry, editor

Published
2011
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3. Non-invasive Activation Times Estimation Using 3D Echocardiography

Author

Prakosa, Adityo, Sermesant, Maxime, Delingette, Hervé, Saloux, Eric, Allain, Pascal, Cathier, Pascal, Etyngier, Patrick, Villain, Nicolas, Ayache, Nicholas, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Camara, Oscar, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, Smith, Nic, editor, and Young, Alistair, editor

Published
2010
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4. Rapid Image Registration of Three-Dimensional Transesophageal Echocardiography and X-ray Fluoroscopy for the Guidance of Cardiac Interventions

Author

Gao, Gang, Penney, Graeme, Gogin, Nicolas, Cathier, Pascal, Arujuna, Aruna, Wright, Matt, Caulfield, Dennis, Rinaldi, Aldo, Razavi, Reza, Rhode, Kawal, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Navab, Nassir, editor, and Jannin, Pierre, editor

Published
2010
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5. A New Method for Spherical Object Detection and Its Application to Computer Aided Detection of Pulmonary Nodules in CT Images

Author

Zhang, Xiangwei, Stockel, Jonathan, Wolf, Matthias, Cathier, Pascal, McLennan, Geoffrey, Hoffman, Eric A., Sonka, Milan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ayache, Nicholas, editor, Ourselin, Sébastien, editor, and Maeder, Anthony, editor

Published
2007
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6. Iconic Feature Registration with Sparse Wavelet Coefficients

Author

Cathier, Pascal, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Larsen, Rasmus, editor, Nielsen, Mads, editor, and Sporring, Jon, editor

Published
2006
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7. Symmetric Curvature Patterns for Colonic Polyp Detection

Author

Jerebko, Anna, Lakare, Sarang, Cathier, Pascal, Periaswamy, Senthil, Bogoni, Luca, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Larsen, Rasmus, editor, Nielsen, Mads, editor, and Sporring, Jon, editor

Published
2006
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11. Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics

Author

Maroy, Renaud, Boisgard, Raphael, Comtat, Claude, Frouin, Vincent, Cathier, Pascal, Duchesnay, Edouard, Dolle, Frederic, Nielsen, Peter E., Trebossen, Regine, and Tavitian, Bertrand

Subjects
PET imaging -- Analysis, PET imaging -- Usage, Segmentation (Morphology) -- Analysis, Business, Electronics, Electronics and electrical industries, Health care industry
Abstract

Positron emission tomography (PET) is a useful tool for pharmacokinetics studies in rodents during the preclinical phase of drug and tracer development. However, rodent organs are small as compared to the scanner's intrinsic resolution and are affected by physiological movements. We present a new method for the segmentation of rodent whole-body PET images that takes these two difficulties into account by estimating the pharmacokinetics far from organ borders. The segmentation method proved efficient on whole-body numerical rat phantom simulations, including 3-14 organs, together with physiological movements (heart beating, breathing, and bladder filling). The method was resistant to spillover and physiological movements, while other methods failed to obtain a correct segmentation. The radioactivity concentrations calculated with this method also showed an excellent correlation with the manual delineation of organs in a large set of preclinical images. In addition, it was faster, detected more organs, and extracted organs' mean time activity curves with a better confidence on the measure than manual delineation. Index Terms--Partial volume effect, physiological movements, positron emission tomography (PET), rodent whole-body, segmentation.

Published
2008

18. Automated 2D-3D registration of a radiograph and a cone beam CT using line-segment enhancementa)

Author

Munbodh, Reshma, Jaffray, David A., Moseley, Douglas J., Chen, Zhe, Knisely, Jonathan P. S., Cathier, Pascal, and Duncan, James S.

Subjects
Male, Radiographic Image Enhancement, Imaging, Three-Dimensional, Subtraction Technique, Humans, Prostatic Neoplasms, Radiographic Image Interpretation, Computer-Assisted, Reproducibility of Results, Sensitivity and Specificity, Tomography, Spiral Computed, Article, Algorithms, Radiotherapy, Computer-Assisted
Abstract

The objective of this study was to develop a fully automated two-dimensional (2D)-three-dimensional (3D) registration framework to quantify setup deviations in prostate radiation therapy from cone beam CT (CBCT) data and a single AP radiograph. A kilovoltage CBCT image and kilovoltage AP radiograph of an anthropomorphic phantom of the pelvis were acquired at 14 accurately known positions. The shifts in the phantom position were subsequently estimated by registering digitally reconstructed radiographs (DRRs) from the 3D CBCT scan to the AP radiographs through the correlation of enhanced linear image features mainly representing bony ridges. Linear features were enhanced by filtering the images with "sticks," short line segments which are varied in orientation to achieve the maximum projection value at every pixel in the image. The mean (and standard deviations) of the absolute errors in estimating translations along the three orthogonal axes in millimeters were 0.134 (0.096) AP(out-of-plane), 0.021 (0.023) ML and 0.020 (0.020) SI. The corresponding errors for rotations in degrees were 0.011 (0.009) AP, 0.029 (0.016) ML (out-of-plane), and 0.030 (0.028) SI (out-of-plane). Preliminary results with megavoltage patient data have also been reported. The results suggest that it may be possible to enhance anatomic features that are common to DRRs from a CBCT image and a single AP radiography of the pelvis for use in a completely automated and accurate 2D-3D registration framework for setup verification in prostate radiotherapy. This technique is theoretically applicable to other rigid bony structures such as the cranial vault or skull base and piecewise rigid structures such as the spine.

Published
2006

20. Novel System for Real-Time Integration of 3-D Echocardiography and Fluoroscopy for Image-Guided Cardiac Interventions: Preclinical Validation and Clinical Feasibility Evaluation

Author

Arujuna, Aruna V., primary, Housden, R. James, additional, Ma, Yingliang, additional, Rajani, Ronak, additional, Gao, Gang, additional, Nijhof, Niels, additional, Cathier, Pascal, additional, Bullens, Roland, additional, Gijsbers, Geert, additional, Parish, Victoria, additional, Kapetanakis, Stamatis, additional, Hancock, Jane, additional, Rinaldi, C. Aldo, additional, Cooklin, Michael, additional, Gill, Jaswinder, additional, Thomas, Martyn, additional, O'neill, Mark D., additional, Razavi, Reza, additional, and Rhode, Kawal S., additional

Published
2014
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21. New Vector Field Regularization Techniques for Nonrigid Registration

Author

Cathier, Pascal, Ayache, Nicholas, Asclepios, Project-Team, Gee, James C. and Maintz, J.B.A. and Vannier, M.W., Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), MedisysResearch Lab (Medisys), Philips Research, Medical imaging and robotics (EPIDAURE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Gee, James C. and Maintz, J.B.A. and Vannier, M.W., Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay

Subjects
regularization, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, registration, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; no abstract

Published
2003

25. Computer-aided Detection of Colorectal Polyps: Can It Improve Sensitivity of Less-Experienced Readers? Preliminary Findings

Author

Baker, Mark E., primary, Bogoni, Luca, additional, Obuchowski, Nancy A., additional, Dass, Chandra, additional, Kendzierski, Renee M., additional, Remer, Erick M., additional, Einstein, David M., additional, Cathier, Pascal, additional, Jerebko, Anna, additional, Lakare, Sarang, additional, Blum, Andrew, additional, Caroline, Dina F., additional, and Macari, Michael, additional

Published
2007
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30. Iconic Feature Registration with Sparse Wavelet Coefficients.

Author

Larsen, Rasmus, Nielsen, Mads, Sporring, Jon, and Cathier, Pascal

Abstract

With the growing acceptance of nonrigid registration as a useful tool to perform clinical research, and in particular group studies, the storage space needed to hold the resulting transforms is deemed to become a concern for vector field based approaches, on top of the traditional computation time issue. In a recent study we lead, which involved the registration of more than 22,000 pairs of T1 MR volumes, this constrain appeared critical indeed. In this paper, we propose to decompose the vector field on a wavelet basis, and let the registration algorithm minimize the number of non-zero coefficients by introducing an L1 penalty. This enables a sparse representation of the vector field which, unlike parametric representations, does not confine the estimated transform into a small parametric space with a fixed uniform smoothness : nonzero wavelet coefficients are optimally distributed depending on the data. Furthermore, we show that the iconic feature registration framework allows to embed the non-differentiable L1 penalty into a C1 energy that can be efficiently minimized by standard optimization techniques. [ABSTRACT FROM AUTHOR]

Published
2006
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31. Symmetric Curvature Patterns for Colonic Polyp Detection.

Author

Larsen, Rasmus, Nielsen, Mads, Sporring, Jon, Jerebko, Anna, Lakare, Sarang, Cathier, Pascal, Periaswamy, Senthil, and Bogoni, Luca

Abstract

A novel approach for generating a set of features derived from properties of patterns of curvature is introduced as a part of a computer aided colonic polyp detection system. The resulting sensitivity was 84% with 4.8 false positives per volume on an independent test set of 72 patients (56 polyps). When used in conjunction with other features, it allowed the detection system to reach an overall sensitivity of 94% with a false positive rate of 4.3 per volume. [ABSTRACT FROM AUTHOR]

Published
2006
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32. Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging.

Author

Perrin, Muriel, Cointepas, Yann, Cachia, Arnaud, Poupon, Cyril, Thirion, Bertrand, Rivière, Denis, Cathier, Pascal, El Kouby, Vincent, Constantinesco, André, Le Bihan, Denis, and Mangin, Jean-François

Subjects
CEREBRAL cortex, BRAIN imaging, BRAIN mapping, DIAGNOSTIC imaging, MEDICAL imaging systems
Abstract

This paper exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical mantle using MR diffusion imaging. The parcellation is performed in two steps. First, the cortical mantle is split at a macroscopic level into 36 large gyri using a sulcus recognition system. Then, for each voxel of the cortex, a connection profile is computed using a probabilistic tractography framework. The tractography is performed from q-ball fields using regularized particle trajectories. Fiber ODF are inferred from the q-balls using a sharpening process focusing the weight around the q-ball local maxima. A sophisticated mask of propagation computed from a T1-weighted image perfectly aligned with the diffusion data prevents the particles from crossing the cortical folds. During propagation, the particles father child particles in order to improve the sampling of the long fascicles. For each voxel, intersection of the particle trajectories with the gyri lead to a connectivity profile made up of only 36 connection strengths. These profiles are clustered on a gyrus by gyrus basis using a K-means approach including spatial regularization. The reproducibility of the results is studied for three subjects using spatial normalization. [ABSTRACT FROM AUTHOR]

Published
2008
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