Iterative Regularization Methods for a Discrete Inverse Problem in MRI
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A. Leit˜ao
aleitao@mtm.ufsc.br
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J.P. Zubelli
zubelli@impa.br
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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 [7], in order to derive a convergent iterative regularization method for an inverse problem in MRI.
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Published
2008-07-01
How to Cite
[1]
A. Leit˜ao and J. Zubelli, “Iterative Regularization Methods for a Discrete Inverse Problem in MRI”, CUBO, vol. 10, no. 2, pp. 135–144, Jul. 2008.
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