1Departement of Radiology, UCLA, Los Angeles, CA, United States; 2Cardiovascular, Siemens Healthcare, Los Angeles, CA, United States; 3Siemens Healthcare, Winnipeg, MB, Canada; 4Departement of Radiology, University of California Los Angeles, Los Angeles, CA, United States
We propose a compressed sensing technique based on magnitude image subtraction for high spatial and temporal resolution dynamic contrast-enhanced MR angiography (CE-MRA). In a breath-held CE-MRA acquisition, the subtraction of a pre-contrast mask to a post-contrast image promotes sparsity of the difference image. This "subtraction-sparsity" has been previously reported and our proposed magnitude subtraction-based technique takes advantage of this sparsity while avoiding a number of issues with direct k-space subtraction. Full-sampled Cartesian 3D CE-MRA datasets were retrospectively under-sampled and different strategies of reconstruction were evaluated. Our technique was tested with a prospectively under-sampled CE-MRA sequence achieving an acceleration of 12.5x.