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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
Published on: August 14, 2019
Keyhole and zero-padding approaches for reduced-encoding diffusion tensor imaging of the mouse brains.
Shu-Wei Sun1, Yu-Jen Chen, Kun-Hsien Chou
1Department of Biophysics and Bioengineering, and Department of Radiation Medicine, Loma Linda University, Loma Linda, CA, USA.
Magnetic Resonance Imaging
|September 21, 2010
Summary
Keyhole diffusion tensor imaging (DTI) shows potential for brain imaging, offering better edge preservation than zero-padding DTI. Careful selection of reference images ensures consistent DTI indices from reduced-encoding data.
Area of Science:
- Magnetic Resonance Imaging
- Neuroimaging
- Biomedical Engineering
Background:
- Diffusion Tensor Imaging (DTI) is crucial for brain structure analysis.
- Keyhole DTI, successful in cardiac imaging, needs evaluation for brain applications.
- Reduced k-space acquisition techniques aim to shorten scan times.
Purpose of the Study:
- To assess the feasibility of keyhole DTI for in vivo mouse brain imaging.
- To compare keyhole DTI with zero-padding DTI algorithms.
- To investigate the impact of varying sharing rates on DTI parameter accuracy.
Main Methods:
- Keyhole and zero-padding DTI algorithms were applied to in vivo mouse brain data.
- The sharing rate (reduced phase-encoding portion) was varied from 50% to 90%.
- Fractional anisotropy (FA) and mean apparent diffusion coefficient (mean ADC) were analyzed in white matter (WM).
Main Results:
- Zero-padding DTI decreased FA and mean ADC in WM.
- Keyhole DTI demonstrated superior edge preservation on mean ADC maps compared to zero-padding DTI.
- Increasing the sharing rate in keyhole DTI led to inconsistent FA and mean ADC estimations, dependent on the reference image.
Conclusions:
- Keyhole DTI shows promise for brain imaging with improved edge preservation.
- Inconsistencies in keyhole DTI parameters highlight the need for careful methodology.
- Selecting an appropriate reference image enables consistent DTI index acquisition using keyhole DTI with reduced-encoding images.

