Abstract #4476

Evaluating High-Resolution High-b-value OGSE Time-dependent Diffusion in Human Brain at Ultra-high-gradient 3.0T

Ante Zhu¹, Nastaren Abad¹, Robert Y Shih^2,3, Raymond Huang⁴, Chitresh Bhushan¹, Tim Sprenger⁵, Jennifer A McNab⁶, J Kevin DeMarco^2,3, Vincent Ho^2,3, and Thomas K.F. Foo^1,2

¹GE Research, Niskayuna, NY, United States, ²Uniformed Services University of the Health Sciences, Bethesda, MD, United States, ³Walter Reed National Military Medical Center, Bethesda, MD, United States, ⁴Brigham and Women's Hospital, Boston, MA, United States, ⁵GE Healthcare, Stockholm, Sweden, ⁶Stanford University, Palo Alto, CA, United States

Synopsis

Keywords: Microstructure, Diffusion/other diffusion imaging techniquesOscillating gradient spin echo (OGSE) time-dependent diffusion MRI has been shown to improve assessment of intra-cranial disease progression including glioma and multiple sclerosis. In human brain studies, however, high-resolution and high-b-value OGSE diffusion measurements suffer from low signal-to-noise ratio and Rician noise bias. In our preliminary studies with ultra-high-performance gradient 3.0T system, apparent diffusivity coefficient (ADC) of white matter at OGSE 35 Hz showed lower values when ADC was estimated from high b-values ≥1000 s/mm² with 1.5-mm isotropic resolution, due to Rician noise bias. The effect of Rician noise bias on OGSE ADC measurement was reduced by using real-valued signals.

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