摘要
Tomography reconstruction algorithm is one of the key components of positron emission tomography (PET) scanners,most PET scanners use statistical iterative reconstruction algorithms from data in sinograms currently. However tomography reconstruction using list-mode data has many unique advantages,in recent years great attention has been paid to it,being in the process of rapid development and improvement.In this paper,using experimental data of small animal PET scanner Eplus-166,exploiting ordinary subsetized list-mode EM(S-LMEM) algorithm and orthogonal distance-based ray-tracer(OD-RT),we eventually achieve list-mode tomography reconstruction.System response matrix(SRM),which establishes mapping relationship between the image and the projection space,is one key problem in iterative reconstruction algorithm.OD-RT is based on an optimization Siddon's algorithm to calculate the SRM,generating line-of-response(LOR) which is approximately Gaussian-shaped,achieving better modeling of detector response function(DRF).The results demonstrate that image resolution recovery achieves the inherent properties of the scanner and that on-the-fly ray-tracer for real-time calculation of system response matrix is feasible for dynamic reconstruction.Meanwhile,the optimal parameters for calculating SRM are found by experiments.
Tomography reconstruction algorithm is one of the key components of positron emission tomography （PET） scanners, most PET scanners use statistical iterative reconstruction algorithms from data in sinograms currently. However tomography reconstruction using list-mode data has many unique advantages, in recent years great attention has been paid to it, being in the process of rapid development and improvement. In this paper, using experimental data of small animal PET scanner Eplus-166, exploiting ordinary subsetized list-mode EM （S-LMEM） algorithm and orthogonal distance-based ray-tracer （OD-RT）, we eventually achieve list-mode tomography reconstruction. System response matrix （SRM）, which establishes mapping relationship between the image and the projection space, is one key problem in iterative reconstruction algorithm. OD-RT is based on an optimization Siddon＇s algorithm to calculate the SRM, generating line-of-response （LOR） which is approximately Gaussian-shaped, achieving better modeling of detector response function （DRF）. The results demonstrate that image resolution recovery achieves the inherent properties of the scanner and that on-the-fly ray-tracer for real-time calculation of system response matrix is feasible for dynamic reconstruction. Meanwhile, the optimal parameters for calculating SRM are found by experiments.
基金
supported by grants from the National Natural Science Foundation of China(81171410)
