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Abstract #2927

Optimization of Flip Angle to Allow Tradeoffs in T1 Bias and SNR Performance for Fat Quantification

Catherine D. G. Hines1, Takeshi Yokoo2, Mark Bydder2, Claude B. Sirlin2, Scott B. Reeder1,3

1Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States; 2Radiology, University of California-San Diego, San Diego, CA, United States; 3Radiology, University of Wisconsin-Madison, Madison, WI, United States

Chemical shift based water-fat separation methods used to quantify fat in tissue are usually based on rapid 2D or 3D spoiled gradient echo methods. In order to avoid bias from differences in T1 between water and fat, a low flip angle is typically used to minimize this source bias. Reducing the flip angle reduces SNR performance, however. In this work, we present an algorithm to maximize the flip angle (to maximize SNR) while maintaining a user-defined allowable error in fat-fraction from T1 related bias. Experimental validation is also shown.