Difference between revisions of "Projects:ClusteringOfAnatomicallyDistinctFiberTracts"

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'''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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Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MIT|MIT Algorithms]]
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__TOC__
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= Clustering Of Anatomically Distinct Fiber Tracts =
  
'''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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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.
  
'''Key Investigators:'''
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= Description =
  
* Lauren O'Donnell, MIT
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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.
* Carl-Fredrik Westin, BWH
 
* Marek Kubicki, BWH
 
* Martha Shenton, BWH
 
  
'''Example Results:'''
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''Example Results''
  
 
Selected anatomical regions, automatically labeled using the cluster atlas in 3 subjects.
 
Selected anatomical regions, automatically labeled using the cluster atlas in 3 subjects.
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[[Image:Th_corpus-SM_020001.png|[[Image:Th_corpus-SM_020001.png|Image:Th_corpus-SM_020001.png]]]] [[Image:Th_corpus-SM_140001.png|[[Image:Th_corpus-SM_140001.png|Image:Th_corpus-SM_140001.png]]]] [[Image:Th_corpus-SM_150001.png|[[Image:Th_corpus-SM_150001.png|Image:Th_corpus-SM_150001.png]]]]
 
[[Image:Th_corpus-SM_020001.png|[[Image:Th_corpus-SM_020001.png|Image:Th_corpus-SM_020001.png]]]] [[Image:Th_corpus-SM_140001.png|[[Image:Th_corpus-SM_140001.png|Image:Th_corpus-SM_140001.png]]]] [[Image:Th_corpus-SM_150001.png|[[Image:Th_corpus-SM_150001.png|Image:Th_corpus-SM_150001.png]]]]
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= Key Investigators =
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* MIT: Lauren O'Donnell
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* BWH: Carl-Fredrik Westin, Marek Kubicki, Martha Shenton

Latest revision as of 02:54, 27 November 2007

Home < Projects:ClusteringOfAnatomicallyDistinctFiberTracts
Back to NA-MIC_Collaborations, MIT Algorithms

Clustering Of Anatomically Distinct Fiber Tracts

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.

Description

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.

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.

Key Investigators

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