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DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
Published on: August 26, 2014
Quantitative evaluation of white matter tract DTI parameter changes in gliomas using nonlinear registration
P Miller1, D Coope, G Thompson
1Wolfson Molecular Imaging Centre, University of Manchester, Manchester M20 3LJ, UK. paul.c.miller@gmail.com
Neuroimage
|March 6, 2012
Summary
This study introduces a novel method using diffusion tensor imaging (DTI) to detect white matter changes in the internal capsule caused by gliomas. The technique successfully identified pathological alterations in seven patients, aiding in objective characterization of neurological disease.
Area of Science:
- Neuroimaging
- Neurology
- Medical Physics
Background:
- Diffusion tensor imaging (DTI) is crucial for studying white matter architecture.
- Quantifying DTI data offers objective characterization of pathological changes in neurological diseases.
Purpose of the Study:
- To propose a method for evaluating DTI parameter changes in gliomas within the internal capsule.
- To utilize nonlinear registration for white matter delineation and quantitative DTI assessment.
Main Methods:
- Inclusion of 20 glioma patients (grade 2/3) and 10 healthy volunteers.
- Segmentation of DTI fractional anisotropy (FA) maps and projection onto individual FA maps.
- Classification of segments based on FA and mean diffusivity (MD) prediction intervals from normal subjects.
Main Results:
- Segmentation of internal capsules into 10 regions of interest (ROIs).
- Identification of significantly altered FA and MD values in specific segments.
- Detection of abnormal DTI parameters in the internal capsule in seven glioma patients.
Conclusions:
- The proposed method effectively classifies tract segments consistent with disruption, edema, or compression.
- This approach shows potential for detecting changes in eloquent white matter tracts in individual patients.
- Enables objective assessment of DTI-derived parameters in neurological disease contexts.
