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Abstract #2444

Diffusion-weighted GRASE sequence with 3D navigator for high-resolution time-dependency measurements in the human cortical gray matter

Haotian Li1, Qinfeng Zhu1, Jie Lu1, Ruicheng Ba1, Yi-Cheng Hsu2, Xu Yan2, and Dan Wu1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Siemens Healthineers Ltd, Hangzhou, China

Synopsis

Keywords: Diffusion Acquisition, Brain

Motivation: Oscillating gradient sequences enable diffusion measurement at short diffusion-time (td), but it suffered from low resolution and SNR on clinical systems.

Goal(s): To explore the td-dependency in sophisticated structures, like cortical gray matter

Approach: We proposed a 3D navigator-based 3D gradient spin-echo (GRASE) sequence for whole-brain td–dMRI at 1.5 mm isotropic resolution, which enabled us to depict the cerebral cortex.

Results: We unveiled unique td-dependency patterns across cortical regions with different diffusion dispersion exponent (θ) based on the power-law, which was higher in the sensory cortex, like the occipital region, and lower in the high-order cortex like the temporal region.

Impact: The high-resolution td-dMRI technique provided a new approach to characterize the cortical micro-environment and is potentially useful to capture changes due to neurological diseases.

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