Deep Learning reconstruction with uncertainty estimation for $γ$ photon interaction in fast scintillator detectors

no code implementations • 10 Oct 2023 • Geoffrey Daniel, Mohamed Bahi Yahiaoui, Claude Comtat, Sebastien Jan, Olga Kochebina, Jean-Marc Martinez, Viktoriya Sergeyeva, Viatcheslav Sharyy, Chi-Hsun Sung, Dominique Yvon

This article presents a physics-informed deep learning method for the quantitative estimation of the spatial coordinates of gamma interactions within a monolithic scintillator, with a focus on Positron Emission Tomography (PET) imaging.

Convergent ADMM Plug and Play PET Image Reconstruction

no code implementations • 6 Oct 2023 • Florent Sureau, Mahdi Latreche, Marion Savanier, Claude Comtat

In this work, we investigate hybrid PET reconstruction algorithms based on coupling a model-based variational reconstruction and the application of a separately learnt Deep Neural Network operator (DNN) in an ADMM Plug and Play framework.

Image Reconstruction