Significant Contributions To Image Reconstruction Algorithms
The SART algorithm (Simultaneous Algebraic Reconstruction Technique) proposed by Andersen and Kak in 1984 has had a major impact in CT imaging applications where the projection data is limited. As a measure of its popularity, researchers have proposed various extensions to SART: OS-SART, FA-SART, VW-OS-SART, SARTF, etc. Researchers have also studied how SART can best be implemented on different parallel processing architectures. SART and its proposed extensions are used in emission CT in nuclear medicine, for dynamic CT, for holographic tomography, etc. Convergence of the SART algorithm was theoretically established in 2004 by Ming Jiang and Ge Wang in their paper "Convergence of the simultaneous algebraic reconstruction technique (SART)" published in the IEEE Transactions on Image Processing, Vol. 12, August 2003, pp. 957–961.
Read more about this topic: Avinash Kak
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