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M

M. Bentourkia

Researcher at Université de Sherbrooke

Publications -  38
Citations -  771

M. Bentourkia is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Detector & Multispectral image. The author has an hindex of 14, co-authored 38 publications receiving 759 citations.

Papers
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Initial results from the Sherbrooke avalanche photodiode positron tomograph

TL;DR: In this paper, the Sherbrooke APD-PET scanner has been evaluated in terms of resolution, sensitivity, count rate, random and scatter fractions, contrast and relative activity recovery as a function of object size.
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Investigation of depth-of-interaction by pulse shape discrimination in multicrystal detectors read out by avalanche photodiodes

TL;DR: In this paper, the depth-of-interaction (DOI) encoding by pulse shape discrimination (PSD) has definite advantages as it requires only one readout per pixel and it allows DOI measurement of photoelectric and Compton events.
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Cross-validation stopping rule for ML-EM reconstruction of dynamic PET series: effect on image quality and quantitative accuracy

TL;DR: The authors investigate the qualitative and quantitative accuracy of the cross-validation procedure (CV) as a stopping rule, in comparison to overiteration and post-filtering, for the reconstruction of phantom and small animal dynamic /sup 18/F-fluorodeoxyglucose PET data acquired in two-dimensional mode.
Journal Article

Assessment of Scatter Components in High-Resolution PET: Correction by Nonstationary Convolution Subtraction

TL;DR: Subtraction of object and collimator scatter improves contrast only and the slight gain in image sharpness resulting from the subtraction of detector scatter does not justify removal of this component at the expense of sensitivity.
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Energy dependence of scatter components in multispectral PET imaging

TL;DR: It is suggested that multispectral acquisition is a promising solution for increasing sensitivity in high resolution PET if energy-dependent methods are made available to preserve useful events as potentially useful events are restored and undesirable events removed.