Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pierre-Antoine, Rodesch"'
Autor:
Bingqing Xie, Yuemin Zhu, Pei Niu, Ting Su, Feng Yang, Lihui Wang, Pierre-Antoine Rodesch, Loic Boussel, Philippe Douek, Philippe Duvauchelle
Publikováno v:
IEEE Access, Vol 9, Pp 168485-168495 (2021)
Spectral photon-counting CT offers novel potentialities to achieve quantitative decomposition of material components, in comparison with traditional energy-integrating CT or dual-energy CT. Nonetheless, achieving accurate material decomposition, espe
Externí odkaz:
https://doaj.org/article/e26706fd73094786b0d9bba9d1ed8b40
Autor:
Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon Arridge, Francoise Peyrin
Publikováno v:
IEEE Access, Vol 9, Pp 25632-25647 (2021)
The state-of-the art for solving the nonlinear material decomposition problem in spectral computed tomography is based on variational methods, but these are computationally slow and critically depend on the particular choice of the regularization fun
Externí odkaz:
https://doaj.org/article/c8a83afdb71c4adb86fc71df4f991faa
Autor:
Pierre-Antoine Rodesch, Devon Richtsmeier, Elmaddin Guliyev, Kris Iniewski, Magdalena Bazalova-Carter
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 7:263-272
Autor:
Salim Aymeric Si-Mohamed, Jade Miailhes, Pierre-Antoine Rodesch, Sara Boccalini, Hugo Lacombe, Valérie Leitman, Vincent Cottin, Loic Boussel, Philippe Douek
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 24, p 5757 (2021)
The X-ray imaging field is currently undergoing a period of rapid technological innovation in diagnostic imaging equipment. An important recent development is the advent of new X-ray detectors, i.e., photon-counting detectors (PCD), which have been i
Externí odkaz:
https://doaj.org/article/2bb7598c22044fe8a84d96cd9861c269
Autor:
Sara Boccalini, Riham Dessouky, Pierre-Antoine Rodesch, Hugo Lacombe, Yoad Yagil, Elias Lahoud, Klaus Erhard, Bernhard Brendel, Philippe Coulon, Jean-Baptiste Langlois, Frederic Chaput, Stephane Parola, Loic Boussel, Frederic Lerouge, Salim Si-Mohamed, Philippe C. Douek
Publikováno v:
Diagnostic and Interventional Imaging.
Autor:
Salim A. Si-Mohamed, Sara Boccalini, Hugo Lacombe, Adja Diaw, Mohammad Varasteh, Pierre-Antoine Rodesch, Riham Dessouky, Marjorie Villien, Valérie Tatard-Leitman, Thomas Bochaton, Philippe Coulon, Yoad Yagil, Elias Lahoud, Klaus Erhard, Benjamin Riche, Eric Bonnefoy, Gilles Rioufol, Gerard Finet, Cyrille Bergerot, Loic Boussel, Joel Greffier, Philippe C. Douek
Publikováno v:
Radiology. 303:303-313
Background Spatial resolution, soft-tissue contrast, and dose-efficient capabilities of photon-counting CT (PCCT) potentially allow a better quality and diagnostic confidence of coronary CT angiography (CCTA) in comparison to conventional CT. Purpose
Publikováno v:
Photon Counting Computed Tomography ISBN: 9783031260612
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dfe1f99ba1c08f65cf114e8e756b06e
https://doi.org/10.1007/978-3-031-26062-9_2
https://doi.org/10.1007/978-3-031-26062-9_2
Autor:
Chelsea A. S. Dunning, Devon Richtsmeier, Pierre-Antoine Rodesch, Kris Iniewski, Magdalena Bazalova-Carter
Publikováno v:
Photon Counting Computed Tomography ISBN: 9783031260612
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ba68d70ab4f26fe0b63822cc810ed2f
https://doi.org/10.1007/978-3-031-26062-9_12
https://doi.org/10.1007/978-3-031-26062-9_12
Autor:
Philippe Coulon, David C. Rotzinger, Fabio Becce, Jade Miailhes, Pierre-Antoine Rodesch, Philippe Douek, Joël Greffier, Djamel Dabli, Jean-Paul Beregi, Loic Boussel, Salim Si-Mohamed, Niels R van der Werf, Aurélie Vuillod, Damien Racine, Alain Vlassenbroek, Yoad Yagil, Sara Boccalini
Publikováno v:
European Radiology, 32(1), 524-532. Springer-Verlag
Objectives: To evaluate the image quality (IQ) of a spectral photon-counting CT (SPCCT) using filtered back projection (FBP) and hybrid iterative reconstruction (IR) algorithms (iDose4), in comparison with a dual-layer CT (DLCT) system, and to choose