Abstract #2152

Acquisition Optimization of Ultra-High Resolution Diffusion MRI for the Next-Generation 7T scanner

An Thanh Vu^1,2, Alexandru V Avram³, Erica Walker^4,5, Kurt G Schilling⁶, Kulam Najmudeen Magdoom^3,7, Alexander JS Beckett^4,5, Silvia Bunge⁴, Peter J Basser³, and David A Feinberg^4,5

¹Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, ²Radiology, San Francisco Veteran Affairs Health Care System, San Francisco, CA, United States, ³Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bathesda, MD, United States, ⁴Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, ⁵Advanced MRI Technologies, Sebastopol, CA, United States, ⁶Department of Radiology & Radiological Science, Vanderbilt University Medical Center, Nashville, TN, United States, ⁷Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, United States

Synopsis

Keywords: Diffusion Acquisition, Diffusion Acquisition

Motivation: To realize the NexGen 7T’s full potential for ultra-high resolution diffusion MRI.

Goal(s): To explore, optimize, and share best practices for ultra-high resolution diffusion imaging on the NexGen 7T.

Approach: We systematically optimized multiple acquisition approaches starting from a SAR and artifact reduction perspective (via optimization of fat saturation and coil combination approaches) and then moved on to optimization of SNR (via optimization of slice order, slew rate of diffusion gradients, and other SNR enhancing techniques).

Results: The cumulative gains in SNR and reduction in SAR and artifacts allow for fast, high-quality, high-resolution diffusion imaging (≤ 0.6mm).

Impact: Our study sheds light on the complex and often opaque diffusion acquisition parameter space to help the diffusion community more readily achieve mesoscale diffusion imaging, which would facilitate better characterization of complex crossing fibers as well as cortical-depth-dependant brain connectivity.

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