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Updated: Jan 26, 2026

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
Published on: August 14, 2019
Effects of signal averaging, gradient encoding scheme, and spatial resolution on diffusion kurtosis imaging: An
Chia-Wen Chiang1, Shih-Yen Lin1,2, Kuan-Hung Cho1
1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes (NHRI), Miaoli, Taiwan.
Signal averaging improves diffusion kurtosis imaging (DKI) reliability. A higher number of diffusion directions and spatial resolution enhance DKI index accuracy, with optimal protocols proposed for preclinical research.
Area of Science:
- Neuroimaging
- Diffusion MRI
- Quantitative MRI
Background:
- Diffusion kurtosis imaging (DKI) is sensitive to microstructural changes.
- Optimizing DKI acquisition parameters like gradient directions and b-values is crucial.
- The impact of signal averaging on DKI reliability remains understudied.
Purpose of the Study:
- To investigate the influence of signal averaging on the reliability of DKI indices.
- To compare two different DKI acquisition schemes (30 directions/3 b-values vs. 6 directions/15 b-values).
- To assess the effect of spatial resolution on DKI reliability and partial volume effects.
Main Methods:
- Prospective study in fifteen Sprague-Dawley rats at 7T.
- DKI acquisition using two schemes (30d-3b and 6d-15b) at three spatial resolutions and eight repetitions.
- Reliability assessed via voxelwise relative error and test-retest error for FA, MD, and MK in gray and white matter.
Main Results:
- The 30d-3b scheme showed lower relative errors for FA and MK compared to the 6d-15b scheme.
- Optimal number of excitations (NEX) was determined to be 2 for reliable DKI measurements.
- Higher spatial resolution reduced partial volume effects, particularly for FA and MK in gray matter.
Conclusions:
- Increasing diffusion directions benefits FA and MK estimation.
- Higher spatial resolution is essential for mitigating partial volume effects.
- The 30d-3b scheme with optimized signal averaging provides robust DKI metrics, especially MK, for preclinical microstructural analysis.
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