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Communication Dans Un Congrès Année : 2018

Total variation and point spread function priors for MLEM reconstruction in Compton camera imaging

Résumé

The Compton camera is a gamma ray imaging device already employed in astronomy and still in investigation for clinical domain. A key point in the imaging process is the to-mographic reconstruction step. When the acquisition parameters and the a priori information are correctly accounted for, iterative algorithms are able to produce accurate images by compensating for measurement uncertainties and statistical noise. In this work we focus on the list-mode maximum likelihood expectation maximization (LM-MLEM) algorithm with smoothness a priori information expressed by the total variation norm. This type of regularization is particularly well suited for low-dose acquisitions, as it is the case in the applications foreseen for the camera. We show that the TV a priori strongly improves the images when data are acquired in ideal conditions. For realistic data, this a priori is not sufficient and deconvolution with a pre-calculated image-space kernel should also be considered.
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Dates et versions

hal-02359265 , version 1 (12-11-2019)

Identifiants

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Yuemeng Feng, Ane Etxebeste, Jean Michel Létang, David Sarrut, Voichita Maxim. Total variation and point spread function priors for MLEM reconstruction in Compton camera imaging. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Nov 2018, Sydney, Australia. ⟨10.1109/NSSMIC.2018.8824767⟩. ⟨hal-02359265⟩
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