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Abstract #3243

Intracranial Vessel Wall Imaging: Artifactual Effects of Localized Movement and In-line Mitigation with Self-gating

Zhehao Hu1,2, Fei Han3, Qi Yang1,4, Shlee Song5, Marcel Maya6, Anthony Christodoulou1,7, Xiaoming Bi3, Debiao Li1,2,8, and Zhaoyang Fan1,2,8

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, CA, United States, 3Siemens Healthcare, Los Angeles, CA, United States, 4Department of Radiology, Xuanwu Hospital, Beijing, China, 5Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 8Department of Medicine, University of California, Los Angeles, CA, United States

Intracranial vessel wall imaging can directly visualize the vessel wall and characterize wall pathologies, and has drawn great clinical interest. 3D variable-flip-angle turbo spin-echo is currently the method of choice for intracranial VWI. However, because of its 3D acquisition fashion, this method is inherently susceptible to motion as previously shown in extracranial VWI studies. For intracranial VWI, motion may also result from bulk or localized movement, although the former can be effectively reduced by using foam pads. Reducing motion degradation becomes more critical because of long scan time and demanding spatial resolution. This work aims to investigate the effect of localized movement on intracranial VWI quality and to present an in-line self-gating approach to mitigate quality deterioration.

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