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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