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Abstract #3546

Brain Microstructure Imaging with Ultrahigh B-Encoding using MAGNUS High Performance Gradients

Nastaren Abad1, Radhika Madhavan1, Tim Sprenger2, Chitresh Bhushan1, Ante Zhu1, Luca Marinelli1, Eric Fiveland1, Seung-Kyun Lee1, J. Kevin DeMarco3, Robert Shih3, Maureen Hood3,4, Gail Kohls3, H Doug Morris3, Kimbra Kenny4, Vincent B Ho3,4, and Thomas KF Foo1
1GE Global Research Center, Niskayuna, NY, United States, 2MR Applied Science Laboratory Europe, GE Healthcare, Stockholm, Sweden, 3Walter Reed National Military Medical Center, Bethesda, MD, United States, 4Uniformed Services University of the Health Sciences, Bethesda, MD, United States


An ultra-high diffusion b-value protocol (b=7,000-30,000s/mm2) was acquired in a high-performance 3.0 T MAGNUS head gradient system (max gradient amplitude=200 mT/m and max slew rate=500 T/m/s) for white matter microstructure imaging.With shorter TE enabled by MAGNUS, measurements of intra-axonal diffusivities are demonstrated at ultra-high b-values. At these ultra-high b-values, signal from extra-axonal water is effectively suppressed but SNR is also reduced. We show that real-valued image reconstruction maintains Gaussian noise properties and reduces Rician bias, allowing better quantification of intra-axonal diffusivities and effective axonal radii in healthy volunteers and in ongoing human subject research studies of mild traumatic brain injury.

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