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A Second–Order TV–Based Coupling Model and an ADMM Algorithm for MR Image Reconstruction Cover

A Second–Order TV–Based Coupling Model and an ADMM Algorithm for MR Image Reconstruction

By: Bo Zhou,  Yu-Fei Yang and  Bo-Xia Hu  
Open Access
|Apr 2020

Abstract

Motivated by ideas from two-step models and combining second-order TV regularization in the LLT model, we propose a coupling model for MR image reconstruction. By applying the variables splitting technique, the split Bregman iterative scheme, and the alternating minimization method twice, we can divide the proposed model into several subproblems only related to second-order PDEs so as to avoid solving a fourth-order PDE. The solution of every subproblem is based on generalized shrinkage formulas, the shrink operator or the diagonalization technique of the Fourier transform, and hence can be obtained very easily. By means of the Barzilai–Borwein step size selection scheme, an ADMM type algorithm is proposed to solve the equations underlying the proposed model. The results of numerical implementation demonstrate the feasibility and effectiveness of the proposed model and algorithm.

DOI: https://doi.org/10.34768/amcs-2020-0009 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 113 - 122
Submitted on: Oct 18, 2018
Accepted on: Jul 8, 2019
Published on: Apr 3, 2020
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Bo Zhou, Yu-Fei Yang, Bo-Xia Hu, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.