Difference between revisions of "BRAINSCut"

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'''Summary:'''
 
'''Summary:'''
BRAINSCut is a software package for segmentation of structures using artificial neural networks. Currently this tool supports the segmentation of the following structures: caudate, putamen, thalamus, hippocampus, anterior cerebellum, interior posterior cerebellum, superior posterior cerebellum, corpus medullary. Future regions will include the globus pallidus, amygdala, and nucleus accumbens. The command line uses the Slicer3 execution model framework.
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BRAINSCut is a software package for segmentation of structures using artificial neural networks. Currently this tool supports the segmentation of the following structures: brain, caudate, putamen, thalamus, hippocampus, anterior cerebellum, interior posterior cerebellum, superior posterior cerebellum, corpus medullary. Future regions will include the globus pallidus, amygdala, and nucleus accumbens. The command line uses the Slicer3 execution model framework.
  
  
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#Improved thresholding of the output activation maps
 
#Improved thresholding of the output activation maps
 
#Code added to NITRC
 
#Code added to NITRC
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#Coupled Neural network with MUSH Brain to generate a brain mask without requiring tissue classification
  
  
 
'''To Do:'''
 
'''To Do:'''
#Link to a BSD style Neural network library
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#Complete integeration with the FANN library
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#Link to a BSD style neural network library
 
#Look at the ability to use for segmentation of cortical regions
 
#Look at the ability to use for segmentation of cortical regions
  

Revision as of 21:43, 10 December 2008

Home < BRAINSCut

Back to NA-MIC Brains Collaboration


Summary:

BRAINSCut is a software package for segmentation of structures using artificial neural networks. Currently this tool supports the segmentation of the following structures: brain, caudate, putamen, thalamus, hippocampus, anterior cerebellum, interior posterior cerebellum, superior posterior cerebellum, corpus medullary. Future regions will include the globus pallidus, amygdala, and nucleus accumbens. The command line uses the Slicer3 execution model framework.


Progress:

  1. Integration with a high dimensional registration to the atlas probability map
  2. Improved thresholding of the output activation maps
  3. Code added to NITRC
  4. Coupled Neural network with MUSH Brain to generate a brain mask without requiring tissue classification


To Do:

  1. Complete integeration with the FANN library
  2. Link to a BSD style neural network library
  3. Look at the ability to use for segmentation of cortical regions


Key Investigators:

  • University of Iowa: Hans Johnson, Ronald Pierson, Kent Williams, Greg Harris, Vincent Magnotta

Figures:


Usage:


Links:


Papers: