Runyu Yang1, Yuze Li1, and Huijun Chen1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
Achieving
high spatio-temporal resolutions is challenging in dynamic magnetic resonance
imaging (dMRI). It is effective to use low-rank and sparse jointly for dMRI reconstruction. However, the nuclear norm is usually
used as a convex approximation of rank function in many low-rank models, so the result is not optimal. In
this study, we proposed a novel method used low rank which utilize a
nonconvex norm and sparse jointly for dMRI reconstruction. The
effectiveness of the proposed method was investigated in phantom and in-vivo
experiments.
