Difference between revisions of "Projects:ClusteringOfAnatomicallyDistinctFiberTracts"

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= Clustering Of Anatomically Distinct Fiber Tracts =
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  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
 
  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
  
'''Objective:''' Use fiber clustering in multiple subjects to create a model ("atlas") of tractography clusters. Perform automatic segmentation of novel tractography datasets (brains) by application of this atlas. Also transfer anatomical information via cluster labels in the atlas.
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'''Objective'''  
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Use fiber clustering in multiple subjects to create a model ("atlas") of tractography clusters. Perform automatic segmentation of novel tractography datasets (brains) by application of this atlas. Also transfer anatomical information via cluster labels in the atlas.
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'''Progress'''
  
'''Progress:''' Atlas creation and automatic labeling has been performed in high-quality DTI datasets from Susumu Mori. Images showing example segmentation results are below. Work is underway to apply this atlas to segment additional datasets to define regions of interest that may be used in the study of schizophrenia.
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Atlas creation and automatic labeling has been performed in high-quality DTI datasets from Susumu Mori. Images showing example segmentation results are below. Work is underway to apply this atlas to segment additional datasets to define regions of interest that may be used in the study of schizophrenia.
  
'''Key Investigators:'''
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'''Key Investigators'''
  
* Lauren O'Donnell, MIT
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* MIT, Lauren O'Donnell
* Carl-Fredrik Westin, BWH
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* BWH, Carl-Fredrik Westin
* Marek Kubicki, BWH
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* BWH, Marek Kubicki
* Martha Shenton, BWH
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* BWH, Martha Shenton
  
 
'''Example Results:'''
 
'''Example Results:'''

Revision as of 19:26, 1 September 2007

Home < Projects:ClusteringOfAnatomicallyDistinctFiberTracts

Clustering Of Anatomically Distinct Fiber Tracts

Back to NA-MIC_Collaborations

Objective

Use fiber clustering in multiple subjects to create a model ("atlas") of tractography clusters. Perform automatic segmentation of novel tractography datasets (brains) by application of this atlas. Also transfer anatomical information via cluster labels in the atlas.

Progress

Atlas creation and automatic labeling has been performed in high-quality DTI datasets from Susumu Mori. Images showing example segmentation results are below. Work is underway to apply this atlas to segment additional datasets to define regions of interest that may be used in the study of schizophrenia.

Key Investigators

  • MIT, Lauren O'Donnell
  • BWH, Carl-Fredrik Westin
  • BWH, Marek Kubicki
  • BWH, Martha Shenton

Example Results:

Selected anatomical regions, automatically labeled using the cluster atlas in 3 subjects.

Subdivisions of the corpus callosum, labeled using the cluster atlas in 3 subjects.