Abstract #3961

Fast T1 Correction for Fat Quantification using a Dual-TR Chemical Shift Encoded MRI Acquisition

Xiaoke Wang^1,2, Diego Hernando^2,3, Curtis N Wiens², and Scott Reeder^1,2,3,4,5

¹Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ²Radiology, University of Wisconsin-Madison, Madison, WI, United States, ³Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ⁴Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, ⁵Medicine, University of Wisconsin-Madison, Madison, WI, United States

Dual flip angle (DFA) methods facilitate T1-corrected proton density fat-fraction (PDFF) quantification at the cost of doubling scan time compared to small flip angle (SFA) methods. In this study, a novel “dual-TR” (DTR) fat quantification strategy was proposed. It acquired 2 spoiled gradient echo (SGRE) dataset sequentially, one with a shortened echo train and reduced TR to alleviate scan time penalties. Monte-Carlo simulation and Cramer-Rao lower bound demonstrated improved noise performance using the proposed method compared with SFA and DFA methods. Phantom experiments demonstrated the feasibility of T1-corrected PDFF estimates using the proposed DTR method.

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