A Preliminary Study on Optimization-Based Image Reconstruction from Sparse, List-Mode TOF-PET Data
- Resource Type
- Conference
- Authors
- Zhang, Zheng; Rose, Sean; Chen, Buxin; Perkins, Amy E.; Kao, Chien-Min; Sidky, Emil Y.; Manjeshwar, Ravindra M.; Pan, Xiaochuan
- Source
- 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC), 2018 IEEE. :1-3 Nov, 2018
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Nuclear Engineering
Photonics and Electrooptics
Image reconstruction
Optimization
Detectors
Crystals
Positron emission tomography
Image quality
Standards
- Language
- ISSN
- 2577-0829
In this study, we investigated TOF-PET systems with reduced density of detector modules possibly to lower detector cost for given volume coverage. The TOF-PET image is designed as a solution specified by an optimization program. As the optimization program depends critically on the TOF-PET configuration of a specific detector-module distribution, TOF-PET configurations with different detector-module distributions lead to different optimization programs. We develop a Chambolle and Pock (CP) algorithm to reconstruct images through solving these optimization programs, thus enabling effectively the investigation and prototyping of TOF-PET configurations of reduced densities of detector modules. The results of our study suggest that TOF-PET configurations with certain sparsely distributed detector modules can yield image quality comparable to that obtained with the current TOF-PET scanner with densely distributed detector modules.