Decorrelation Algorithm for Correcting B1 Artifacts in APTw Imaging at 3 Tesla

Motivation: We present a data-driven approach for B1 correction in APTw MRI eliminating the requirement for additional volume sampling at various B1-values, thereby significantly reducing acquisition time. Goal(s): This enhancement ensures feasible and robust B1 correction in clinical settings. Our method establishes homogeneity in white matter (WM) and gray matter (GM) values within 3D-APTw volume. Approach: By modeling the correlation between rB1 and the APTw data, followed by a decorrelation algorithm, we achieve closer alignment of WM and GM values across 3D volume. Results: This rapid technique considerably reduces acquisition time and significantly improves the coherence of WM and GM values throughout the slices. Impact: The proposed B1 decorrelation technique strongly impacts qualitative and semi-quantitative APTw imaging applications due to considerable reduction in B1 artifacts. Homogeneous contrast among WM, GM, and tumor values is achieved within and across slices.