Rohit Chacko Philip1, Ali Bilgin1,2,3, and Maria I Altbach1,2
1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 3Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States
1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 3Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States
Streaking artifacts due
to gradient nonlinearities in radial imaging are suppressed using an automated
region growing algorithm, which eliminates the need for manual selection of
ROIs for interference covariance matrix selection.
Qualitative results on a
representative axial slice of an abdominal MRI scan reconstructed (a) without
any streak suppression algorithm (reference), and with (b) SW, (c) CR+OP, (d) B-STAR
(i.e., manual ROI), (e) RGB-STAR (Auto Center), and (f) RGB-STAR (Auto Arms).
Bland-Altman plots showing agreement between B-STAR and the two
automated RGB-STAR interference covariance matrix generation methods.
