Li Feng1 and Lirong Yan2
1Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
1Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
Highly-accelerated 4D MRA using golden-angle radial sparse parallel imaging with subspace-based image reconstruction (GraspMRA) was proposed and evaluated, which can achieve temporal resolution of up to 50 ms with 10 spokes per frame.
Figure 1. The flowchart of GRASP-Pro reconstruction. In an intermediate step, standard GRASP reconstruction is performed on the low-resolution portion of the sorted radial k-space for estimating temporal basis (U). In the second step, GRASP-Pro is then performed on the full-resolution radial k-space incorporating the pre-learned basis (UK with only the first dominant K basis components) to reconstruct VK, the coefficients to represent the fully-resolution image-series under UK. The final images m is then computed as UKVK.
Figure 3. MRA MIP images at 5 representative phases with 10 and 20 spokes per frame, respectively. MIP images at the same TIs were shown for the two reconstructions for better comparison.
