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arXiv · 1603.08889

Technical Note: Proximal Ordered Subsets Algorithms for TV Constrained Optimization in CT Image Reconstruction

Sean Rose·Martin S. Andersen·Emil Y. Sidky·Xiaochuan Pan
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Abstract

This article is intended to supplement our 2015 paper in Medical Physics titled "Noise properties of CT images reconstructed by use of constrained total-variation, data-discrepancy minimization", in which ordered subsets methods were employed to perform total-variation constrained data-discrepancy minimization for image reconstruction in X-ray computed tomography. Here we provide details regarding implementation of the ordered subsets algorithms and suggestions for selection of algorithm parameters. Detailed pseudo-code is included for every algorithm implemented in the original manuscript.

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Sean Rose, Martin S. Andersen, Emil Y. Sidky, Xiaochuan Pan. 2016-03-29. Technical Note: Proximal Ordered Subsets Algorithms for TV Constrained Optimization in CT Image Reconstruction. https://arxiv.org/abs/1603.08889

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