pith. sign in

arxiv: 1603.08889 · v1 · pith:QM2JVPC7new · submitted 2016-03-29 · ⚛️ physics.med-ph

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

classification ⚛️ physics.med-ph
keywords constrainedorderedsubsetsalgorithmalgorithmsdata-discrepancyimageminimization
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.