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Abstract #1560

Comparison of Blip-Up and Blip-Down EPI Distortion Correction Methods for Cardiac Diffusion Tensor Imaging

Tyler E Cork1,2,3, Matthew J Middione1,2, Michael Loecher1,2, Congyu Liao1, Kévin Moulin4,5, Kawin Setsompop1,6, and Daniel B Ennis1,2,7
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Division of Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Department of Bioengineering, Stanford University, Stanford, CA, United States, 4CREATIS Laboratory, University of Lyon, Lyon, France, 5Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France, 6Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 7Cardiovascular Institute, Stanford University, Stanford, CA, United States


To maintain minimal scan times, cardiac Diffusion Tensor Imaging (cDTI) uses an echo-planar imaging (EPI) readout. Off-resonance, that causes geometric distortion in EPI, remains an obstacle that degrades image quality and can affect the underlying quantitative information. In cDTI, the lung/liver/heart interface amplifies the effect of geometric distortion. Distortion correction algorithms, such as TOPUP and DR-BUDDI, have proved to adequately correct distortion in neuroimaging, but limited work has been done for the heart. A first look at comparing these two correction strategies head-to-head was evaluated and resulting in TOPUP as a slightly better tool addressing distortion correction in the heart.

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