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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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Quantitative mapping of the per-axon diffusion coefficients in brain white matter
Enrico Kaden1, Frithjof Kruggel2, Daniel C Alexander1
1Centre for Medical Image Computing, University College London, UK.
Magnetic Resonance in Medicine
|May 15, 2015
Summary
This study introduces a new method to measure microscopic diffusion in the brain, unaffected by fiber orientation. This technique helps differentiate tissue features from fiber dispersion for better neurological condition diagnosis.
Area of Science:
- Neuroimaging
- Biophysics
- Diffusion MRI
Background:
- Diffusion MRI probes tissue microstructure.
- Intravoxel fiber orientation distribution complicates diffusion measurements.
- Accurate estimation of per-axon diffusion coefficients is crucial.
Purpose of the Study:
- To present a simple method for estimating diffusion coefficients parallel and perpendicular to axons.
- To obtain per-axon or microscopic diffusion coefficients.
- To achieve estimates unconfounded by intravoxel fiber orientation distribution.
Main Methods:
- Utilizing Diffusion MR imaging.
- Exploiting the invariance of the spherical mean of the diffusion signal over gradient directions.
- Proposing the spherical mean technique (SMT) for estimating per-axon diffusion coefficients.
Main Results:
- Demonstrated quantitative maps of axon-scale diffusion in human brain white matter.
- Successfully factored out effects of fiber dispersion and crossing.
- Estimated microscopic diffusion coefficients in vivo using standard MRI sequences.
Conclusions:
- Per-axon diffusion coefficient estimation is vital for accurate fiber orientation recovery.
- The spherical mean technique distinguishes microscopic tissue features from fiber dispersion.
- This method may improve sensitivity and specificity for neurological conditions.
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