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arXiv · 2309.05324

Reconstruction multiclasse pour l'imagerie TEP 3-photons

Mehdi Latif·Jérôme Idier·Thomas Carlier·Simon Stute
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Abstract

This contribution addresses the problem of image reconstruction of radioactivity distribution for which the available information arises from several classes of data, each associated with a specific combination of detections. We introduce a theoretical framework to measure the amount of information brought by each class and we develop an iterative algorithm dedicated to multi-class reconstruction based on maximum likelihood.We apply our approach to the XEMIS2 camera, a preclinical prototype of a Compton telescope dedicated to 3-photon PET imaging for which four distinct classes of partial detections coexist with the full detection class.Based on Monte Carlo simulations, we present the first elements of our model.

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Mehdi Latif, Jérôme Idier, Thomas Carlier, Simon Stute. 2023-09-11. Reconstruction multiclasse pour l'imagerie TEP 3-photons. https://arxiv.org/abs/2309.05324

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