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Updated: Sep 19, 2025
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Diffusion-weighted GRASE sequence with 3D navigator for high-resolution time-dependent diffusion MRI in the human
Haotian Li1, Qinfeng Zhu1, Jie Lu1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Purpose:
Oscillating gradient (OG) and pulsed gradient spin-echo diffusion MRI (dMRI) allows the acquisition of diffusion-weighted signals at varying diffusion time (td) and thus enables characterization of microstructure in complex tissues. This study proposed an advanced three-dimensional (3D) navigator-based diffusion-weighted 3D gradient spin-echo (DW-GRASE) sequence, specifically designed for high-resolution whole-brain oscillating gradient spin-echo and pulsed gradient spin-echo acquisition.
Methods:
We developed a 3D navigator for phase correction between multiple shots of the 3D DW-GRASE sequence. Oscillating and pulsed gradient dMRI were acquired at 1.5-mm isotropic resolution with oscillating frequencies at 50 and 25 Hz and td of 20, 30, and 40 ms. The performance of two-dimensional and 3D navigator strategies was compared based on the ghost-to-signal ratio. Then, we evaluated td-dependency in three cortical regions, as quantified by diffusion dispersion exponent (θ) based on the power-law relationship between td and apparent diffusion coefficient.
Results:
dMRI obtained using the 3D navigator method showed significantly lower ghost-to-signal ratio than the two-dimensional navigator, indicating high performance in correcting phase errors between shots. The θ values obtained from the 3D navigator-based 3D DW-GRASE sequence were higher in the sensory and motor regions than in the higher-order region, indicating more complex microstructures in the higher-order cortex.
Conclusion:
The 3D navigator-based oscillating gradient DW-GRASE sequence effectively corrected phase errors and demonstrated the potential to achieve high-resolution td-dependent dMRI for revealing microstructural properties in the human cortex.
