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Abstract #3415

Graph-based compressed sensing MRI image reconstruction: View image patch as a vertex on graph

Zongying Lai 1,2 , Yunsong Liu 1 , Di Guo 3 , Jing Ye 1 , Zhifang Zhan 1 , Zhong Chen 1 , and Xiaobo Qu 1

1 Department of Electronic Science, Xiamen University, Xiamen, Fujian, China, 2 Department of Communication Engineering, Xiamen University, Fujian, China, 3 School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, Fujian, China

Compressed sensing MRI can speed up imaging by undersampling k-space data. However, the sparse representation of magnetic resonance images affects the quality of reconstructed images. In this work, a graph-based compressed sensing MRI image reconstruction method is proposed. This method views an image patch as a vertex on graph and reorders the pixel to be smooth by traveling this graph with shortest path. Image reconstruciong from compressively sampled data shows that the proposed reconstruction method outperforms conventional wavelets in terms of visual quality and evaluation criteria.

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