Speaker
Description
PET image quality depends on accurately determining the lines of response, which requires precise 3D localization of annihilation photon interactions within the detectors. In pixelated crystal arrays, spatial resolution is inherently limited by crystal size and can only be improved by increasing granularity, at significant cost. Monolithic and semi-monolithic arrays overcome this by inferring interaction position from the photosensor light distribution, enabling high spatial accuracy through calibration and software alone.
We present the full 3D position calibration of the Ultra-High-performance Brain (UHB) PET scanner, based on semi-monolithic detectors, using a collimated fan beam and multilayer perceptron (MLP) networks. Overall resolutions of 2.3$\pm$0.6 mm and 2.7$\pm$0.8 mm FWHM were achieved along the monolithic and depth-of-interaction directions, with individual mini-modules reaching ~1.6 mm and ~2.0 mm FWHM, respectively. Slab identification accuracy, applying ICS recovery, reached 78%.
These results demonstrate that semi-monolithic detectors can deliver high 3D spatial resolution across all directions, supporting their application in next-generation brain PET scanners.
| Track | PSMR |
|---|---|
| Presentation type | Oral |