Difference between revisions of "NA"

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  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
 
  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
  
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'''Objective:''' To improve segmentation of brain structures.
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'''Objective:''' To develop a generic framework for access, processing and analysis in population studies
  
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'''Progress:''' We have combined registration of an atlas with MRI images using the Expectation-Maximization algorithm which simultaneously estimates image inhomogeneities, anatomical label maps, and a mapping from the atlas to the image space. The software is being ported to ITK.
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'''Progress:''' It was decided that the basic underlaying access and storage of data is provided through the Dart 2 database. This is the current bottleneck and progress will resume as soon as Dart 2 has been released.
  
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''' Recent Publications'''
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'''Key Investigators:'''
  
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* K.M. Pohl, J. Fisher, J.J. Levitt, M.E. Shenton, R. Kikinis, W.E.L. Grimson, and W.M. Wells, “ A Unifying Approach to Registration, Segmentation, and Intensity Correction, ” In Proc. MICCAI 2005: Eigth International Conference on Medical Image Computing and Computer Assisted Intervention, Palm Springs, CA, USA, Springer-Verlag, Part I, vol. 3749 of Lecture Notes in Computer Science, pp. 310-318, 2005
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* GE: Jim Miller, Dan Blezek
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* UNC: Martin Styner
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'''Key Investigators'''<nowiki>: </nowiki>
 
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* Harvard PNL: Sylvain Bouix, Motoaki Nakamura, Min-Seong Koo, Martha Shenton.
 
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* MIT: Kilian Pohl, Sandy Wells, Eric Grimson
 
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* Kitware: Luis Ibanez, Karthik Krishnan
 
  
 
'''Links:'''
 
'''Links:'''
  
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* [[DBP:Harvard:Collaboration:MIT|DBP:Harvard:Collaboration:MIT]]
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* [[NAMIC_Wiki:Community_ShapeAnalysis|Documentation of preliminary discussions for the framework]]
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* [[Progress_Report:Shape_Based_Segmentation_And_Registration|Progress_Report:Shape_Based_Segmentation_And_Registration]]
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* [[Engineering:Project:Feature_Analysis_Framework|Programming week Summer 05 results]]

Revision as of 14:04, 18 December 2006

Home < NA
Back to NA-MIC_Collaborations

Objective: To develop a generic framework for access, processing and analysis in population studies

Progress: It was decided that the basic underlaying access and storage of data is provided through the Dart 2 database. This is the current bottleneck and progress will resume as soon as Dart 2 has been released.

Key Investigators:

  • GE: Jim Miller, Dan Blezek
  • UNC: Martin Styner

Links:

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