Abstract #4803

Revealing Diffusion Frequency-Dependence in Surface-to-Volume Ratio limit using OGSE sequence on the Connectome 2.0 Scanner

Jialan Zheng^1,2,3, Wen Zhong¹, Dongsuk Sung^3,4, Julianna Gerold³, Qiyuan Tian^1,5, Hua Guo¹, Susie Yi Huang^3,4, and Hong-Hsi Lee^3,4

¹School of Biomedical Engineering, Tsinghua University, Beijing, China, ²Tanwei College, Tsinghua University, Beijing, China, ³Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ⁴Harvard Medical School, Boston, MA, United States, ⁵Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing, China

Synopsis

Keywords: Simulation/Validation, Simulation/Validation

Motivation: Diffusion frequency-dependence offers a direct probe to tissue microstructure at diffusion length scale. Oscillating-gradient-spin-echo (OGSE) sequence provides very short effective diffusion time and length for evaluating fine structures but poses challenges in simultaneously achieving high diffusion-weighting and high frequency on human scanners.

Goal(s): To validate the potential of OGSE sequences on the high-gradient-performance Connectome 2.0 scanner.

Approach: We measured diffusivity frequency-dependence (30-100Hz) in an anisotropic solid-fiber phantom on Connectome 2.0 and estimated surface-to-volume ratio and fiber radius, whose value was corrected for non-ideal cosine-OGSE waveform.

Results: Estimated fiber radius matched the ground-truth (error<5%), demonstrating the potential of in vivo microstructural imaging using OGSE.

Impact: We performed diffusion frequency-dependence using oscillating-gradient-spin-echo (OGSE) sequence (≤100Hz) and accurately estimated fiber radius in an anisotropic fiber phantom on the Connectome 2.0 human scanner, demonstrating the potential of in vivo microstructural imaging using OGSE.

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