Multi-View 3D Compton Image Reconstruction With a Generalized List-Mode MLEM Algorithm

This paper aims to generalize the well-known list-mode maximum likelihood expectation maximization (LM-MLEM) algorithm to reconstruct 3D Compton images from multi-view data. The main originality resides in developing a new list-mode data space and the associated probabilistic framework enabling parallax improvement for compact Compton cameras. To further improve the accuracy of 3D image reconstruction, we carry out a data preprocessing based on the spectra of total energy and incidence angle of photon on absorber to select significant Compton events in consideration. Numerous numerical results on real datasets confirm the outperformance of the generalized LM-MLEM algorithm in the localization of radioactive sources.