Related Experiment Video
Updated: Jul 7, 2026
Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
Published on: August 11, 2016
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Susumu Mori1, Kenichi Oishi2, Hangyi Jiang1
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
New white matter atlases provide detailed stereotaxic coordinates for brain structures. These resources improve accuracy in anatomical quantification and automated brain region identification using diffusion tensor imaging (DTI).
Area of Science:
- Neuroimaging
- Computational Anatomy
- White Matter Research
Background:
- Stereotaxic atlases are crucial for reporting brain anatomy and quantification.
- Existing atlases have limited coordinate information for white matter structures.
- Diffusion tensor imaging (DTI) provides detailed information about white matter architecture.
Purpose of the Study:
- To introduce novel white matter-specific atlases in stereotaxic coordinates.
- To provide comprehensive fiber orientation and parcellation maps for white matter.
- To evaluate the utility of these atlases for automated brain region analysis.
Main Methods:
- Utilized the ICBM-152 as a reference template.
- Created hand-segmented white matter parcellation maps using DTI data.
- Generated fiber orientation maps.
- Assessed registration accuracy using linear and non-linear transformations.
- Tested automated template-based white matter parcellation.
Main Results:
- Developed white matter atlases with detailed stereotaxic coordinate information.
- Demonstrated high correlation between manual and automated parcellation methods in normal adults.
- Validated the accuracy of registration transformations.
Conclusions:
- The new white matter atlases are valuable resources for neuroimaging research.
- These atlases facilitate precise anatomical localization and quantification of white matter.
- The developed methods support automated white matter parcellation, enhancing research efficiency.
