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.
@article{1520, title = {Iterative Regularization Methods for a Discrete Inverse Problem in MRI}, journal = {CUBO, A Mathematical Journal}, volume = {10}, year = {2008}, language = {en}, url = {http://dml.mathdoc.fr/item/1520} }
Leit˜ao, A.; Zubelli, J.P. Iterative Regularization Methods for a Discrete Inverse Problem in MRI. CUBO, A Mathematical Journal, Tome 10 (2008) . http://gdmltest.u-ga.fr/item/1520/