  In this work, we present modeling and imaging performance of a dual panel
limited-angle TOF-PET system for intraoperative surgical applications using
GATE monte carlo toolkit. Several detector parameters such as detector pixel
dimensions, timing resolution and depth of interaction resolution along with
tumor uptake ratio and phantom dimension are varied. Ultimately TOF-PET
detector properties to achieve a specific imaging task are presented. To assess
image resolution, we employed Simple Back Projection (SBP) reconstruction due
to its fast speed compared to list-mode Maximum Likelihood Expectation
Maximization (MLEM). We evaluated the quality of the reconstructed images using
metrics contrast-to-noise ratio (CNR), contrast recovery coefficient (CRC), and
signal-to-noise ratio (SNR). The purpose is to show effects of different
detector parameters on the resolution of reconstructed images.
