Abstract #1155

Motion-Robust, High-SNR Fat Quantification using a Variable Flip Angle Approach

Ruiyang Zhao^1,2, Yuxin Zhang^1,2, Xiaoke Wang^1,3, Kevin M. Johnson^1,2, Scott B. Reeder^1,2,3,4,5, and Diego Hernando^1,2

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

Current chemical shift encoded (CSE)-MRI techniques enable quantification of liver fat using 3D breath-hold methods. However, many patients are unable to sustain breath-holds, leading to motion artifacts that cause variability and bias in fat quantification. A recently developed 2D sequential CSE-MRI technique is motion-robust with short temporal footprint but suffers from low SNR due to the small flip angles used to avoid T1 bias. To overcome this limitation, we propose a novel centric encoding variable flip angle (CEVFA) technique that minimizes T1 bias in fat quantification while achieving higher SNR performance and validate this technique in phantoms and in-vivo scans.

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