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

Yi Du, Gongyi Yu, Xincheng Xiang, Xiangang Wang*, Yves De Deene

*Corresponding author for this work

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    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.

    Original languageEnglish
    Article number012025
    Pages (from-to)1-5
    Number of pages5
    JournalJournal of Physics: Conference Series
    Issue number1
    Publication statusPublished - 5 Jun 2017
    Event9th International Conference on 3D Radiation Dosimetry - Texas, United States
    Duration: 7 Nov 201610 Nov 2016

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