Abstract #0030

Confounder-Corrected T1 mapping in the Liver through Simultaneous Estimation of T1, PDFF, R2* and B1

Nathan Tibbitts Roberts^1,2, Daiki Tamada, PhD¹, Yavuz Muslu^1,3, Diego Hernando, PhD^1,3,4,5, and Scott B Reeder, MD, PhD^1,3,4,6,7

¹Radiology, University of Wisconsin - Madison, Madison, WI, United States, ²Electrical Engineering, University of Wisconsin - Madison, Madison, WI, United States, ³Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, ⁴Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, ⁵Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States, ⁶Medicine, University of Wisconsin - Madison, Madison, WI, United States, ⁷Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States

Synopsis

T1 is emerging as a quantitative MR biomarker of liver fibrosis, the most important histological change predictive of progressing chronic liver disease. 3D spoiled gradient echo (SGRE)-based T1 mapping is preferable in the abdomen for its short acquisition time, volumetric coverage, and robustness to motion. However, SGRE-based T1 mapping is confounded by tissue fat and B1 inhomogeneity. In this work we present a novel SGRE-based T1 mapping method that corrects for both fat and B1 inhomogeneity. Phantom experiments show excellent agreement with reference T1 values (slope=1.01, R²=1.00) and minimal bias (~5±23ms). Early results from 5 healthy volunteers are promising.

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