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Iterative regularization methods for a discrete inverse problem in MRI

Published 20 Dec 2020 in math.NA and cs.NA | (2012.11000v1)

Abstract: 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.

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