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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Published on: July 28, 2013

Diffusion tensor imaging tensor shape analysis for assessment of regional white matter differences.

Dana M Middleton¹, Jonathan Y Li¹, Hui J Lee²

¹1 School of Medicine, Duke University, USA.

The Neuroradiology Journal

|June 21, 2017

Summary

This study introduces a novel tensor shape plot analysis for diffusion tensor imaging (DTI) to differentiate brain white matter microstructure. The technique successfully distinguished between distinct white matter regions based on their unique microstructural characteristics.

Keywords:

Diffusion tensor imaging barycentric plot centrum semiovale internal capsule tensor shape

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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Area of Science:

Neuroimaging
Biophysics
Materials Science

Background:

Diffusion tensor imaging (DTI) is crucial for assessing white matter integrity.
Current DTI analysis methods may benefit from advanced visualization techniques to better characterize tissue microstructure.

Purpose of the Study:

To investigate a novel tensor shape plot analysis for DTI data.
To assess microstructural differences in brain white matter tissue.
To determine if this technique can distinguish white matter regions with varying microstructural compositions.

Main Methods:

Utilized DTI on three normal canine brains using a 7T small-animal MRI system.
Examined internal capsule and centrum semiovale white matter regions.
Applied tensor shape plot analysis to eigenvalues from 100 regions of interest per brain area.

Main Results:

Tensor shape plot data for the internal capsule markedly differed from the centrum semiovale.
Internal capsule data formed a tight cluster, suggesting compact, parallel fibers.
Centrum semiovale data showed wider distribution, consistent with less compact, crossing fibers.

Conclusions:

Tensor shape plots effectively depicted differences in brain tissue microstructure.
The technique reflects the specific microstructure of individual brain regions.
This proof-of-principle study suggests potential for assessing white matter diseases with larger samples.