Abstract #3627

Evaluation of 3D GRASE and 2D MB-EPI for Multi-Delay PCASL Imaging

Xiufeng Li¹, Xingfeng Shao², Dingxin Wang^1,3, Sudhir Ramanna¹, Steen Moeller¹, Kamil Ugurbil¹, Essa Yacoub¹, and Danny J.J. Wang²

¹Radiology-CMRR, University of Minnesota, Minneapolis, MN, United States, ²Laboratory of FMRI Technology, Stevens Neuroimaging and Informatics Institute, University of Southern California, CA, United States, ³Siemens Medical Solutions USA Inc., MN, United States

Recently 2D multi-band (MB) imaging has emerged as a promising alternative to 3D acquisitions for arterial spin labeling imaging. As part of the Human Connectome Project, we evaluated a segmented 3D GRASE and 2D MB-EPI for multi-delay PCASL imaging in terms of test-retest repeatability and CBF/ATT quantification. The results indicated that compared to 3D GRASE, 2D MB-EPI is less sensitive to subject motion, provided comparable but more reproducible ATT and CBF estimates, and suffered less from data loss. 2D MB-EPI appears promising for multi-delay PCASL imaging, especially with limited imaging time and where higher spatial resolution is of interest.

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