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Updated: May 16, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Diffusion imaging in neurological disease.

V F J Newcombe¹, T Das, J J Cross

¹Department of Anaesthesia, Addenbrooke's Hospital, Cambridge University Biomedical Research Centre, Cambridge, UK.

Journal of Neurology

|December 6, 2012

Summary

This summary is machine-generated.

Diffusion-weighted imaging offers valuable insights into neural tissue microstructure for diagnosing conditions like tumors and head injuries. This technique quantifies tissue properties, aiding clinical assessment of various neurological disorders.

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Area of Science:

Neuroimaging
Biomedical Engineering
Radiology

Background:

Diffusion-weighted imaging (DWI) assesses microscopic tissue properties.
DWI provides insights into neural tissue architecture in health and disease.
Quantifiable parameters from DWI have clinical relevance.

Purpose of the Study:

Introduce key concepts in diffusion imaging.
Illustrate clinical applications of diffusion imaging.
Focus on applications in head injury assessment.

Main Methods:

Review of diffusion-weighted imaging principles.
Analysis of quantitative diffusion parameters.
Clinical case examples in neurology.

Main Results:

DWI is crucial for evaluating tumors, cysts, and white matter disorders.
Imaging data reflects cellular constituents, cyst contents, and neural integrity.
Demonstrated utility in cerebral infarction and infections.

Conclusions:

Diffusion imaging is a powerful tool for assessing neural tissue.
Clinical applications span various neurological conditions, including head injury.
Quantification of diffusion parameters enhances diagnostic accuracy.