arXiv:2012.11000 Abstract | arXiv Analytics

arXiv:2012.11000 [math.NA]Abstract References Reviews Resources

Iterative regularization methods for a discrete inverse problem in MRI

Published 2020-12-20Version 1

We propose and investigate efficient numerical methods for inverse problems related to Magnetic Resonance Imaging (MRI). Our goal is to extend the recent convergence results for the Landweber-Kaczmarz method obtained in [Haltmeier, Leitao, Scherzer 2007], in order to derive a convergent iterative regularization method for an inverse problem in MRI.

Comments: 11 pages

Journal: CUBO, A Mathematical Journal 10 (2008), no. 2, 137-146

Categories: math.NA, cs.NA

Subjects: 65J20, 47A52

Keywords: discrete inverse problem, convergent iterative regularization method, convergence results, landweber-kaczmarz method, efficient numerical methods

Tags: journal article

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