Iterative Regularization Methods for a Discrete Inverse Problem in MRI
-
A. Leit˜ao
aleitao@mtm.ufsc.br
-
J.P. Zubelli
zubelli@impa.br
Downloads
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.
Keywords
Similar Articles
- Ajay Kumar, Ekta Tamrakar, Inertial algorithm for solving split inclusion problem in Banach spaces , CUBO, A Mathematical Journal: Vol. 25 No. 1 (2023)
- Ganga Ram Gautam, Sandra Pinelas, Manoj Kumar, Namrata Arya, Jaimala Bishnoi, On the solution of \(\mathcal{T}-\)controllable abstract fractional differential equations with impulsive effects , CUBO, A Mathematical Journal: Vol. 25 No. 3 (2023)
- Fatima Fennour, Soumia Saïdi, On a class of evolution problems driven by maximal monotone operators with integral perturbation , CUBO, A Mathematical Journal: Vol. 26 No. 1 (2024)
- Sapan Kumar Nayak, P. K. Parida, Global convergence analysis of Caputo fractional Whittaker method with real world applications , CUBO, A Mathematical Journal: Vol. 26 No. 1 (2024)
- Dmitri V. Alekseevsky, Masoud Ganji, Gerd Schmalz, Andrea Spiro, The Levi-Civita connections of Lorentzian manifolds with prescribed optical geometries , CUBO, A Mathematical Journal: Vol. 26 No. 2 (2024)
- Andrew Craig, Miroslav Haviar, Klarise Marais, Dual digraphs of finite meet-distributive and modular lattices , CUBO, A Mathematical Journal: Vol. 26 No. 2 (2024)
You may also start an advanced similarity search for this article.
Downloads
Download data is not yet available.
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.
Issue
Section
Articles
