Abstract #0153

Motion-Robust Multiparametric MRI of the Liver at 3T: Simultaneous Estimation of Water-Specific T1, PDFF, Motion-Resolved R2*, and QSM

Jingjia Chen^1,2, Ding Xia³, Hersh Chandarana^1,2, Daniel K Sodickson^1,2, 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, ³Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging

Motivation: Quantitative multiparametric MRI has the potential to improve the characterization of liver diseases, but its clinical implementation is limited by challenges such as respiratory motion and slow imaging speed.

Goal(s): To develop a motion-robust multiparametric MRI technique that enables simultaneous estimation of water-specific T1, PDFF, motion-resolved R2*, and QSM of the liver from a single acquisition at 3T.

Approach: Our technique employs inversion recovery-prepared golden-angle multi-echo stack-of-stars sampling in combination with advanced low-rank subspace reconstruction for generating different quantitative parameters.

Results: Free-breathing multiparametric estimation of 3D water-specific T1, PDFF, R2* and QSM with motion compensation has been successfully demonstrated in volunteers and patients.

Impact: This new technique is capable of estimating water-specific T1, PDFF, motion-resolved R2*, and QSM of the liver from a single acquisition at 3T. It holds potential to promote the use of quantitative MRI in moving organs such as the liver.

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