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Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction

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GradCSC

Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction

The Code is created based on the method described in the following papers:
[1] J. Xiong , H. Lu , M. Zhang , Q. Liu, Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction,ACTA AUTOMATICA SINICA,43(10):1841-1849, 2017.
Author: J. Xiong , H. Lu , M. Zhang , Q. Liu
Date : 4//2018
Version : 1.0
The code and the algorithm are for non-comercial use only.
Copyright 2018, Department of Electronic Information Engineering, Nanchang University.
GradCSC - Convolutional sparse coding in Gradient domain

Gradientfilters_mri.mat is available at: https://pan.baidu.com/s/1f7tlnFeySu1UNjLtzfVasg.

Visual illustration of learned dictionary/filters.

Left: Learned dictionary by DLMRI. Middle: Learned dictionary by GradDL. Right: Learned filters by GradCSC.

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