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Updated: Jan 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

Volume changes in white matter pathways from infancy to early adulthood measured using diffusion tensor based

Amritha Nayak¹, Rakibul Hafiz¹, M Okan Irfanoglu¹

¹Laboratory on Quantitative Medical Imaging, National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, United States.

Frontiers in Neurology

|September 29, 2025

Summary

This summary is machine-generated.

Diffusion tensor-based morphometry reveals distinct white matter volume development across brain pathways in children and adolescents. White matter volume growth trajectories vary by region, with some pathways showing prolonged development into young adulthood.

Keywords:

brain development diffusion tensor imaging (DTI)growth trajectory morphometry pediatric volume

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Last Updated: Jan 16, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

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Published on: August 26, 2014

Area of Science:

Neuroimaging
Developmental Neuroscience
Biomedical Engineering

Background:

Diffusion tensor imaging (DTI) is crucial for studying white matter (WM) development.
Diffusion tensor-based morphometry (DTBM) quantifies local volume changes in WM pathways.
Previous studies highlight DTBM's utility in neurological disorders.

Purpose of the Study:

To assess DTBM volume changes during postnatal brain development in typically developing children.
To evaluate the relationship between volume changes and DTI metrics in specific WM pathways.

Main Methods:

Utilized DTI data from 182 healthy children (0-21 years) from the NIH Pediatric MRI Data (NIHPD).
Processed data using TORTOISE and created age-specific templates with DRTAMAS.
Defined ROIs on a young-adult template and analyzed developmental trajectories in two age segments.

Main Results:

Significant variations in WM volumetric developmental trajectories were observed across regions.
Estimated birth volume ranged from 12-53% of adult values, with annual growth rates of 3-30% in Segment 1 (0-2.69 years) and 0-4% in Segment 2.
Volumetric changes were generally larger and more protracted than changes in diffusion metrics, with some regions continuing to grow after diffusion metrics plateaued.

Conclusions:

DTBM reveals pathway-specific WM volume developmental trajectories distinct from DTI metrics.
Future research should utilize larger cohorts to correlate DTBM findings with cognitive and behavioral changes.
Establishing normative DTBM values is essential for future clinical applications.