Convergence of SART + OS + TV iterative reconstruction algorithm for optical CT imaging of gel dosimeters

9th International Conference on 3D Radiation Dosimetry

Du, Yi^1,2 ; Yu, Gongyi^1,3 ; Xiang, Xincheng^1 ; Wang, Xiangang^1 ; De Deene, Yves^2

Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing

100084, China^1

The Biomedical Engineering Laboratory, Department of Engineering, Macquarie University, Sydney

2109, Australia^2

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai

200032, China^3

关键词: Computational simulation;    Fast convergence;    Iterative algorithm;    Iterative calculation;    Iterative reconstruction algorithms;    Parameter selection;    Simultaneous algebraic reconstruction technique;    Spatial performance;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/847/1/012025/pdf
DOI  :  10.1088/1742-6596/847/1/012025

来源: IOP

【 摘 要 】

Computational simulations are used to investigate the convergence of a hybrid iterative algorithm for optical CT reconstruction, i.e. the simultaneous algebraic reconstruction technique (SART) integrated with ordered subsets (OS) iteration and total variation (TV) minimization regularization, or SART+OS+TV for short. The influence of parameter selection to reach convergence, spatial dose gradient integrity, MTF and convergent speed are discussed. It's shown that the results of SART+OS+TV algorithm converge to the true values without significant bias, and MTF and convergent speed are affected by different parameter sets used for iterative calculation. In conclusion, the performance of the SART+OS+TV depends on parameter selection, which also implies that careful parameter tuning work is required and necessary for proper spatial performance and fast convergence.