Guanhua Wang1, Tianrui Luo1, Jon-Fredrik Nielsen1, Jeffrey A. Fessler2, and Douglas C. Noll1
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States
The proposed model, BJORK, provides a robust and generalizable workflow to jointly optimize non-Cartesian sample patterns and physics-informed reconstruction. Results demonstrate improved image quality compared with previous trajectory optimization methods.
Figure 1. Diagram for the proposed approach.
Figure 5. (a) displays the scanning protocols. Radial-like corresponds to the undersampled radial trajectory, SPARKLING trajectory initialized with the undersampled radial trajectory, and BJORK trajectory initialized with the undersampled radial trajectory. (b) showcases one example from the in-vivo experiment. The first row is the CS-based reconstruction and the second row is the unrolled neural network-based reconstruction. For fully-sampled data, conjugate phase reconstruction is displayed.
