Abstract #2674

Rapid Free-Breathing 3D MRI of the Liver for Simultaneous Quantification of PDFF, R2*, and Water-Specific T1 at 0.55 Tesla

Jingjia Chen^1,2, Zhitao Li^3,4, Ding Xia⁵, Kai Tobias Block^1,2, Hersh Chandarana^1,2, Michael Ohliger⁶, Daniel K Sodickson^1,2, Yang Yang⁶, and Li Feng^1,2

¹Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ²Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ³Department of Radiology, Northwestern University School of Medicine, Chicago, IL, United States, ⁴Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, United States, ⁵Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁶Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

Synopsis

Keywords: Low-Field MRI, Low-Field MRI

Motivation: 0.55T MRI may be a promising platform for quantitative multiparametric liver imaging with improved cost-effectiveness and robustness.

Goal(s): This study demonstrates the feasibility of rapid free-breathing 3D MRI of the liver with simultaneous quantification of PDFF, R2*, and water-specific T1 at 0.55 Tesla.

Approach: We tested free-breathing GraspT1-Dixon sequence with in vivo experiment and the quantitative maps are validated using R2* and PDFF phantoms.

Results: We show that (1)the estimated parameters are accurate; (2)the influence of fat on liver T1 mapping can be effectively mitigated to ensure accurate and robust T1 quantification; and (3)R2* mapping may be insensitive to respiratory motion at 0.55T.

Impact: 0.55T MRI offers a cost-effective platform for quantitative multiparametric MRI of the liver to improve the management of various chronic disease conditions. In particular, the improved magnetic field homogeneity at 0.55T may enable more robust estimation of R2* maps.

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