Iterative regularization methods for a discrete inverse problem in MRI
Numerical Analysis
2020-12-22 v1 Numerical Analysis
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.
Cite
@article{arxiv.2012.11000,
title = {Iterative regularization methods for a discrete inverse problem in MRI},
author = {A. Leitao and J. Zubelli},
journal= {arXiv preprint arXiv:2012.11000},
year = {2020}
}
Comments
11 pages