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Updated: Sep 11, 2025

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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
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Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI
Kristofor E Pas1,2, Kadharbatcha S Saleem1,3, Peter J Basser1
1National Institutes of Health, Bethesda, MD, United States.
Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
Summary
High-resolution mean apparent propagator MRI detects brain
Area of Science:
- Neuroimaging
- Neuroanatomy
Background:
- Conventional cortical parcellation relies on template warping.
- This method has limitations in accurately defining laminar patterns and areal borders.
Purpose of the Study:
- To evaluate high-resolution mean apparent propagator (MAP) MRI for direct detection of cortical laminar patterns and areal borders.
- To offer an alternative to traditional template-warping methods.
Main Methods:
- Acquired 200 μm resolution MAP-MRI data from a fixed macaque brain.
- Applied a local anisotropic Gaussian filter to enhance sensitivity to cortical layers.
- Clustered all cortical voxels using only MAP-derived microstructural biomarkers.
Main Results:
- MAP-based 3D cytoarchitectonic segmentation revealed laminar patterns comparable to histology.
- MAP-MRI delineated transition regions more accurately than conventional atlas-based parcellation.
- Successfully matched MAP-derived cytoarchitectonic domains across hemispheres.
Conclusions:
- High-resolution MAP-MRI biomarkers effectively delineate 3D cortical cytoarchitectonic domains in individuals.
- Intrinsic microstructural contrasts facilitate the creation of whole-brain mesoscopic cortical atlases.
Keywords:
MAP-MRIclustering analysiscortical areascortical layerscortical parcellationcytoarchitecturediffusion anisotropydiffusion propagatorhistological validationquantitative biomarkerunsupervised
