Abstract #0317

Human brain high-resolution OGSE diffusion MRI with slice-by-slice B0 shimming in an ultra-high performance gradient 3T MRI system

Patricia Lan¹, Sherry Huang², Gaohong Wu³, Raymond Y. Huang^4,5, Jerome Maller⁶, Jennifer A. McNab⁷, Thomas K.F. Foo⁸, Seung-Kyun Lee⁸, and Ante Zhu⁸

¹MR Clinical Solutions & Research Collaborations, GE HealthCare, Menlo Park, CA, United States, ²Science and Technology Office, GE HealthCare, Royal Oak, MI, United States, ³Application Engineering, GE HealthCare, Waukesha, WI, United States, ⁴GE HealthCare, Menlo Park, CA, United States, ⁵Department of Radiology, Harvard Medical School, Boston, MA, United States, ⁶The Monash Alfred Psychiatry Research Centre, The Alfred and Monash University Central Clinical School, Monash University, Melbourne, Australia, ⁷Department of Radiology, Stanford University, Stanford, CA, United States, ⁸Technology & Innovation Center, GE HealthCare, Niskayuna, NY, United States

Synopsis

Keywords: Diffusion Acquisition, Data Acquisition

Motivation: Time-dependent diffusion MRI has emerged for tissue microstructure imaging. Multi-shot, or segmented, EPI diffusion acquisition commonly used for reducing image distortion due to B₀ field inhomogeneity, may not be applicable due to the prolonged scan time.

Goal(s): To propose an optimized B₀ shimming algorithm for single-shot EPI acquisition and compare image quality to that using two-shots EPI acquisition.

Approach: Dynamic linear slice-by-slice B₀ shimming accounting for gradient nonlinearity was implemented in both OGSE and PGSE diffusion MRI.

Results: Dynamic shimming reduces B₀ field inhomogeneity and image distortion for both OGSE and PGSE, especially for high resolution acquisitions with long echo spacing.

Impact: MRI-based tissue microstructure imaging can benefit from the fast, high-quality, time-dependent diffusion MRI with the optimized dynamic linear slice-by-slice B₀ shimming technique that is applicable to any MRI system.

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