Simon Stute
University of Paris-Sud
47 Papers
386 Citations
Simon Stute is an academic researcher from University of Paris-Sud. The author has contributed to research in topics: Iterative reconstruction & Imaging phantom. The author has an hindex of 13, co-authored 47 publications. Previous affiliations of Simon Stute include French Institute of Health and Medical Research & Centre national de la recherche scientifique.
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Papers
Comparative assessment of methods for estimating tumor volume and standardized uptake value in (18)F-FDG PET.
P. Tylski,Simon Stute,Nicolas Grotus,Kaya Doyeux,Sébastien Hapdey,Isabelle Gardin,Bruno Vanderlinden,Irène Buvat +7 more
TL;DR: The method used to estimate tumor volume and SUV greatly affects the reliability of the estimates, and the Tbgd and Fit methods yielded low errors in volume estimates in a broad range of situations.
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Imaging the Impact of the P-Glycoprotein (ABCB1) Function on the Brain Kinetics of Metoclopramide
Géraldine Pottier,Solène Marie,Sébastien Goutal,Sylvain Auvity,Marie-Anne Peyronneau,Simon Stute,Raphaël Boisgard,Frédéric Dollé,Irène Buvat,Fabien Caillé,Nicolas Tournier +10 more
TL;DR: Using metoclopramide as a model of CNS drug, it is demonstrated that P-gp function not only reduces influx but also mediates the efflux from the brain back to the blood compartment, with additional impact on brain distribution.
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A New Method for Volume Segmentation of PET Images, Based on Possibility Theory
A.-S. Dewalle-Vignion,Nacim Betrouni,Renaud Lopes,Damien Huglo,Simon Stute,Maximilien Vermandel +5 more
TL;DR: A new, nearly automatic and operator-independent segmentation approach that incorporated possibility theory, in order to take into account the uncertainty and inaccuracy inherent in the image, which could be an efficient and robust tool for uptake volume segmentation, and lead to new indicators for measuring volume of interest activity.
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Bias Reduction for Low-Statistics PET: Maximum Likelihood Reconstruction With a Modified Poisson Distribution
Katrien Van Slambrouck,Simon Stute,Claude Comtat,Merence Sibomana,Floris H. P. van Velden,Ronald Boellaard,Johan Nuyts +6 more
TL;DR: Two reconstruction methods with bias reduction properties that do not use strict Poisson optimization are presented and compared to each other, to filtered backprojection (FBP), and to MLEM.
Fully 4D list-mode reconstruction applied to respiratory-gated PET scans.
N. Grotus,N. Grotus,N. Grotus,Andrew J. Reader,Simon Stute,J.C. Rosenwald,Philippe Giraud,Irène Buvat +7 more
TL;DR: Results show that 4D reconstruction reaches a similar performance in terms of the signal-to-noise ratio (SNR) as non-gated reconstruction whilst preserving the motion deblurring, and improves the SNR compared to respiratory- gated images reconstructed with the OSEM algorithm.
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