QUANTOF: multi-GPU-based list-mode fully quantitative TOF PET image reconstruction.
Published in 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), 2024
Recommended citation: Yuan, Z., Zhan, F., Lu, H., Li, C., Hou, Y., Wang, H., ... & Jiang, J. (2024, October). QUANTOF: multi-GPU-based list-mode fully quantitative TOF PET image reconstruction. In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (pp. 1-1). IEEE. https://ieeexplore.ieee.org/abstract/document/10657018
This work introduces a multi-GPU-based list-mode fully quantitative Time-of-Flight (TOF) PET image reconstruction technique, named QUANTOF, that integrates all corrections during PET image iterative reconstruction on GPUs. Additionally, optimizations have been applied to the backprojection algorithm, resulting in a two-fold increase in speed compared to the pre-optimized version. Validation using experimental datasets from a Siemens Biograph Vision PET/CT scanner demonstrates that this technique significantly reduces reconstruction time costs while achieving exceptional quantitative accuracy.