Runyu Yang1, Yuze Li1, and Huijun Chen1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
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 . It is effective to use low-rank prior and sparse prior for dMRI reconstruction. We proposed a novel method used low rank which utilize a nonconvex norm and sparse for dMRI reconstruction.
FIG.2. Reconstruction
results comparison for cardiac cine dataset with radial trajectory and r=2. From top to bottom: time-frame magnitude images, error map, x-t
temporal profiles in white dotted line. The proposed method had lower artifacts for
reconstruction of cardiac blood pools than the other methods by the arrows in the error map. By the arrows in the temporal profile, the
methods to be compared present temporal blurring artifacts, which are
effectively removed by the proposed mothed.
Table.1. PSNR/RMSE
comparison of various reconstruction methods on PINCAT dataset, Cine dataset
and Perfusion dataset.