A low-count reconstruction algorithm for Compton-based prompt gamma imaging.

In this study, we proposed a low-count reconstruction algorithm to improve the image quality of a characteristic PG emission by pooling information from other characteristic PG emissions. PGs were simulated from a proton beam irradiated on a water phantom, and a two-stage Compton camera was used for PG detection. The results show that the image quality of the reconstructed characteristic PG emission is improved with our proposed method in contrast to the standard reconstruction method using events from only one characteristic PG emission. For the 4.44 MeV PG rays, both methods can be used to predict the positions of the peak and the distal falloff with a mean accuracy of 2 mm. Moreover, only the proposed method can improve the estimated positions of the peak and the distal falloff of 5.25 MeV PG rays, and a mean accuracy of 2 mm can be reached.
PMID: 29546850 [PubMed - as supplied by publisher]

Source: Physics in Medicine and Biology - March 16, 2018 Category: Physics Authors: Huang HM, Liu CC, Jan ML, Lee MW Tags: Phys Med Biol Source Type: research