Orateur
Description
PET imaging is undergoing continuous improvements thanks to developments of new
detection approaches, new designs and new electronic chains. For example, whole-body
scanners' geometries, advances in detectors' time resolution, and improvements in TOF image reconstruction are hot topics for dynamic acquisitions.
Monte Carlo GATE simulations can be used to quantify the impact of these improvements
before or with prototype experimentations. The simulation must be validated against state-of-the-art imaging devices to produce realistic data. In this work, we model the GE SIGNA PET-MR system using GATE 9.1. The image reconstruction, including normalization and
attenuation corrections, is done with CaSTOR 3.1.1.
We present the simulation validated for spatial resolution, sensitivity, noise equivalent count rate (NECR) and image quality with and without TOF information. Furthermore, by using improved coincidence time resolution (CTR) promised by new detection prototype systems, we show the potentially achievable impact on image quality for clinical applications. We also discuss the perspectives of a whole-body scanner simulation based on the GE SIGNA PET-MR technologies and other new PET detector approaches.
