Double Smoothing Method-based Algorithm for MR Image Reconstruction with Partial Fourier Data
Xiaohui Liu 1 , Jinhong Huang 1 , Wufan Chen 1 , and Yanqiu Feng 1
Guangdong Provincial Key Laborary of Medical
Image Processing, School of Biomedical Engineering,
Southern Medical University, Guangzhou, Guangdong, China
Undersampled MRI reconstruction techniques based on
Compressed Sensing (CS) exploiting sparsity which is
implicit in MR images can provide significant help in
reducing the scan time during clinical period, but
remains challenging due to the requirement of high
reconstruction accuracy. A novel algorithm is developed
and tested in vivo for solving the MR image
reconstruction problem due to Nesterovs smoothing
scheme and convex conic optimization.
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