Abstract #5172

Motion-Compensated Free-Breathing MRI for GlycoNOE Imaging in the Human Liver

Li Feng^1,2, Jingjia Chen^1,2, Ding Xia³, Margo Breilyn⁴, Sara Lewis⁵, and Xiang Xu³

¹Bernard and Irene Schwartz Center for Biomedical Imaging, New York University, New York, NY, United States, ²Center for Advanced Imaging Innovation and Research (CAI2R), New York University, New York, NY, United States, ³Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁴Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁵Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Keywords: Liver, CEST / APT / NOE, glycoNOE

Motivation: Radial sampling has shown great promise for free-breathing MRI applications and is adaptable for CEST imaging to enable motion-robust acquisitions. However, it remains susceptible to motion blurring, especially in patients with irregular breathing, which can introduce variability in the quantification of glycoNOE effects.

Goal(s): To develop a motion-compensated technique, GraspNOE-Dixon, to enhance free-breathing glycoNOE imaging in the liver.

Approach: GraspNOE combines multi-echo navi-stack-of-stars sampling with low-rank subspace reconstruction and additional motion compensation to generate dynamic CEST images for quantifying the Nuclear Overhauser Effect (NOE).

Results: Our approach improves Z spectral quality compared to standard radial imaging without motion compensation.

Impact: This technique can improve glycoNOE imaging in the human liver. The method could be valuable for studying the glycogen distribution and monitoring treatment in patients with glycogen storage disease.

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