A Fast Method for Reconstruction of Total-Variation MR Images With a Periodic Boundary Condition

Abstract

We use a small positive parameter to change the total-variation function for unconstrained MR image reconstruction to a strictly convex perturbed function. Bregman iteration is applied to solve the modified total-variation MR image (TVMRI) reconstruction problem. A lagged diffusivity fixed-point algorithm is applied to solve the minimization problem in the Bregman iteration. We use the periodic boundary condition and a Fourier transform to accelerate TVMRI reconstruction. Real MR images are used to test the approach in numerical experiments. The experimental results demonstrate that the proposed method is very efficient for TVMRI reconstruction.

DOI: 10.1109/LSP.2013.2245502

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Cite this paper

@article{Zhu2013AFM, title={A Fast Method for Reconstruction of Total-Variation MR Images With a Periodic Boundary Condition}, author={Yonggui Zhu and Yuying Shi}, journal={IEEE Signal Processing Letters}, year={2013}, volume={20}, pages={291-294} }