  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.
