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Communication Dans Un Congrès Année : 2023

An Extended List-Mode MLEM Algorithm for 3D Compton Image Reconstruction from Multi-View Data

Résumé

The lack of parallax in the measurements is a big challenge in 3D image reconstruction for handheld Compton cameras. Our solution to this issue is to extend the conventional list-mode maximum-likelihood expectation-maximization (LM-MLEM) 3D reconstruction algorithm to allow the simultaneous use of multi-view Compton data seeking parallax improvement. It involves building a new list-mode simultaneous data space from multi-view Compton events, formulating the associated probabilistic models for the system response matrix and sensitivity, and developing an extended LM-MLEM algorithm. For the performance assessment, we experiment the extended 3D reconstruction algorithm on real multi-view data conducted with a handheld CeBr3 Compton camera developed by Damavan Imaging and a punctual 0.2 (MBq) 22 Na source. Various comparative studies with different view numbers, source locations and energy ranges confirm the outperformances of our extended LM-MLEM algorithm.

Dates et versions

hal-04444203 , version 1 (07-02-2024)

Identifiants

Citer

Nhan Le, Hichem Snoussi, Zied Hmissi, Alain Iltis, Guillaume Lebonvallet, et al.. An Extended List-Mode MLEM Algorithm for 3D Compton Image Reconstruction from Multi-View Data. ANIMMA 2023 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications, Jun 2023, Lucca, Italy. pp.06003, ⟨10.1051/epjconf/202328806003⟩. ⟨hal-04444203⟩
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