Meeting Banner
Abstract #1952

High spatiotemporal resolution cones 4D flow using memory-efficient iterative reconstruction

Christopher M. Sandino1, Frank Ong2, Joseph Y. Cheng3, Michael Lustig2, Marcus T. Alley3, and Shreyas S. Vasanawala3

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Electrical Engineering, University of California, Berkeley, Berkeley, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States

4D flow MRI enables comprehensive cardiovascular assessment, but is limited by long acquisition times and motion corruption. Non-Cartesian sampling strategies, such as radial and cones, exhibit excellent aliasing properties that allow reduced scan times and improve motion robustness. However, trade-offs between spatial and temporal resolution are necessary due to computational burden of iterative 4D non-Cartesian reconstruction. This has restricted cones 4D flow to low temporal resolution venous applications. Here we present a memory-efficient iterative reconstruction utilizing batch processing to enable arbitrary spatiotemporal resolution. We demonstrate feasibility of sub-millimeter, 30 cardiac phase cones 4D flow for coronary artery and valvular assessment.

This abstract and the presentation materials are available to members only; a login is required.

Join Here