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Abstract #1215

Motion-Compensated 3D TSE for More Robust Intracranial MR Vessel Wall Imaging

Zhehao Hu1,2, Fei Han3, Andre J.W. Van der Kouwe4,5, Xiaoming Bi3, Bin Sun6, Jiayu Xiao1, Junzhou Chen1,2, Shlee S. Song7, Marcel M. Maya8, Debiao Li1,2,9, and Zhaoyang Fan1,2,9
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Bioengineering Department, University of California, Los Angeles, Los Angeles, CA, United States, 3Siemens Healthineers, Los Angeles, CA, United States, 4A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States, 6Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 7Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 8Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 9Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

While underexplored to date, motion susceptibility may critically undermine clinical translation of 3D intracranial MR vessel wall imaging (VWI). Motion artifacts observed in intracranial VWI are either caused by head bulk motion or internally localized movement. By combing volumetric navigators (vNav) and self-gating (SG) strategies, we propose a novel motion compensation approach that can simultaneously address these two motion issues. Our preliminary studies demonstrated the potential of using this technique to improve robustness of 3D intracranial MR VWI.

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