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Abstract #4316

Oscillating Gradient (OG) Prepared 3D-GRASE Sequence for Improved OG-Diffusion MRI

Dan Wu1, Dapeng Liu2, Yi-Cheng Hsu3, Haotian Li1, Yi Sun3, Qin Qin2, and Yi Zhang1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China

Oscillating gradient enables access of short diffusion times for time-dependent diffusion MRI (dMRI), but poses challenges for clinical use, including limited oscillating frequencies and b-values, low SNR, and relatively long scan times. This study proposes a 3D oscillating gradient prepared gradient spin-echo sequence (OGprep-GRASE) to improve the SNR and shorten the acquisition time for OG-dMRI. The proposed sequence reduced the scan time by a factor of 1.38 and increased the SNR by 1.74 times, compared with the existing 2D echo-planar imaging (EPI) approach, leading to improved diffusion tensor reconstruction. Diffusivity measurements showed similar time-dependency using the GRASE and EPI sequences.

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