S
Simon Rit
Researcher at Claude Bernard University Lyon 1
Publications - 146
Citations - 2699
Simon Rit is an academic researcher from Claude Bernard University Lyon 1. The author has contributed to research in topics: Imaging phantom & Iterative reconstruction. The author has an hindex of 23, co-authored 126 publications receiving 2217 citations. Previous affiliations of Simon Rit include University of Lyon & European Synchrotron Radiation Facility.
Papers
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Journal ArticleDOI
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Keelin Murphy,B. van Ginneken,Joseph M. Reinhardt,Sven Kabus,Kai Ding,Xiang Deng,Kunlin Cao,Kaifang Du,Gary E. Christensen,V. Garcia,Tom Vercauteren,Nicholas Ayache,Olivier Commowick,Grégoire Malandain,Ben Glocker,Nikos Paragios,Nassir Navab,Vladlena Gorbunova,Jon Sporring,M. de Bruijne,Xiao Han,Mattias P. Heinrich,Julia A. Schnabel,Mark Jenkinson,Cristian Lorenz,Marc Modat,Jamie R. McClelland,Sebastien Ourselin,Sascha E. A. Muenzing,Max A. Viergever,Dante De Nigris,D. L. Collins,Tal Arbel,M. Peroni,Rui Li,Gregory C. Sharp,Alexander Schmidt-Richberg,Jan Ehrhardt,René Werner,Dirk Smeets,Dirk Loeckx,Gang Song,Nicholas J. Tustison,Brian B. Avants,James C. Gee,Marius Staring,Stefan Klein,Berend C. Stoel,Martin Urschler,Manuel Werlberger,Jef Vandemeulebroucke,Simon Rit,David Sarrut,Josien P. W. Pluim +53 more
TL;DR: The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Journal ArticleDOI
The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)
Simon Rit,M. Vila Oliva,M. Vila Oliva,Sébastien Brousmiche,Rudi Labarbe,David Sarrut,Gregory C. Sharp +6 more
TL;DR: RTK is an open-source toolkit for cone-beam CT reconstruction based on the Insight Toolkit that has been built to freely share tomographic reconstruction development between researchers and is open for new contributions.
Journal ArticleDOI
Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs.
TL;DR: Spatiotemporal registration can provide accurate motion estimation for 4D CT and improves the robustness to artifacts and is found most suitable to account for the sudden changes of motion at this breathing phase.
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On-the-fly motion-compensated cone-beam CT using an a priori model of the respiratory motion
TL;DR: An on-the-fly solution to estimate and compensate for the respiratory motion in the reconstruction of a 3D CBCT image from all the CB projections which can replace respiration-correlated CBCT for improving image quality while decreasing acquisition time is developed.
Journal ArticleDOI
Filtered backprojection proton CT reconstruction along most likely paths
TL;DR: Improved spatial resolution was obtained in pCT images with filtered backprojection reconstruction using most likely path estimates of protons, which makes this new algorithm a candidate of choice for clinical pCT.