High spatial and temporal resolution dynamic contrast-enhanced magnetic resonance angiography using compressed sensing with magnitude image subtraction

Purpose We propose a compressed‐sensing (CS) technique based on magnitude image subtraction for high spatial and temporal resolution dynamic contrast‐enhanced MR angiography (CE‐MRA). Methods Our technique integrates the magnitude difference image into the CS reconstruction to promote subtraction sparsity. Fully sampled Cartesian 3D CE‐MRA datasets from 6 volunteers were retrospectively under‐sampled and three reconstruction strategies were evaluated: k‐space subtraction CS, independent CS, and magnitude subtraction CS. The techniques were compared in image quality (vessel delineation, image artifacts, and noise) and image reconstruction error. Our CS technique was further tested on seven volunteers using a prospectively under‐sampled CE‐MRA sequence. Results Compared with k‐space subtraction and independent CS, our magnitude subtraction CS provides significantly better vessel delineation and less noise at 4× acceleration, and significantly less reconstruction error at 4× and 8× (P