Preliminary investigation on algorithm-enabled PET-configuration design

The reduction of detectors in PET systems, without significantly compromising the PET utility, is an important cost consideration in a PET-system design. Recent advances in algorithm development can be used for enabling the design and assessment of innovative PET systems. In this work, we investigate PET configurations with reduced number of detectors by using the ASD-POCS algorithm that was developed originally for image reconstruction in CT. We carry out simulation studies that demonstrate the potential of the algorithm in enabling the design of advanced PET imaging configurations with reduced number of detectors.