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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
