A Fast algorithm of PET System Response Matrix based on Straight Line Truncation
Abstract
In the calculation of Positron Emission Tomography (PET) image reconstruction, System Response Matrix (SRM) characterizes the numerical relationship between measurement space and image space. Due to a significant amount of calculation and low efficiency of the current SRM algorithm, the application of iterative reconstruction in the medical and industrial fields is limited. The time and space of computing SRM are the most important factors that researchers are concerned about. In this paper, the Straight Line Truncation (hereinafter referred to as SLT) method is applied to calculate the SRM. We verified that it improves the speed of calculating the SRM and reduces its spatial complexity. The experimental results show that the forward projection speed of SLT algorithm is six times more than that of the traditional RayTracing algorithm. Besides, the forward projection speed of the small angle of SLT is about 23 times that of the traditional RayTracing algorithm, and the storage space of SLT is about one sixtyfourth of the storage space of traditional RayTracing algorithm.
 Publication:

arXiv eprints
 Pub Date:
 September 2019
 arXiv:
 arXiv:1909.02263
 Bibcode:
 2019arXiv190902263D
 Keywords:

 Physics  Medical Physics