Difference between revisions of "ProjectWeek200706:vtkITKWrapperForRuleBasedSegmentation"

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__NOTOC__
 
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===Key Investigators===
 
===Key Investigators===
* Georgia Tech: John Melonakos, Ramsey Al-Hakim
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* Georgia Tech: Tauseef Rehman, John Melonakos
 
* Kitware: Brad Davis
 
* Kitware: Brad Davis
 
* BWH: Marek Kubicki
 
* BWH: Marek Kubicki
* UCI: Jim Fallon
 
  
 
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<h1>Objective</h1>
 
<h1>Objective</h1>
 
We are developing rule-based segmentation techniques which speedup the process and improve the accuracy for delineating the DLPFC in brain MRI scans.  Our objective is to develop Slicer modules to facilitate clinical use of these techniques.
 
We are developing rule-based segmentation techniques which speedup the process and improve the accuracy for delineating the DLPFC in brain MRI scans.  Our objective is to develop Slicer modules to facilitate clinical use of these techniques.

Revision as of 14:39, 28 June 2007

Home < ProjectWeek200706:vtkITKWrapperForRuleBasedSegmentation
The Slicer2 RuleBasedSegmentation module.


Key Investigators

  • Georgia Tech: Tauseef Rehman, John Melonakos
  • Kitware: Brad Davis
  • BWH: Marek Kubicki

Objective

We are developing rule-based segmentation techniques which speedup the process and improve the accuracy for delineating the DLPFC in brain MRI scans. Our objective is to develop Slicer modules to facilitate clinical use of these techniques.

A functional Slicer2 module has been developed and now needs to be tested and used by our Core 3 partners. In this project, we are supporting our Core 3 partners by making enhancements to improve the user friendliness of the module.

Approach, Plan

Our approach for segmenting the DLPFC is described in the references below. The challenge is to make this software user-friendly to enable clinical use of the tool. Our plan for the week is <>

Progress


June 2007 Project Week

This is where you put in progress made in Project Week 2007.

2005-2007

This code was developed between 2005-2007. First is was developed and tested in Matlab. Then the sub-volume creation rules were ported to Slicer2 while the Bayesian segmentation was ported to ITK (see the references below for more detail). Finally, in early 2007, a vtk wrapper of the ITK Bayesian code was developed, thus completing the Slicer2 RuleBasedSegmentation module.



References

  • Ramsey Al-Hakim, James Fallon, Delphine Nain, John Melonakos, and Allen Tannenbaum. A dorsolateral prefrontal cortex semi-automatic segmenter. In SPIE Medical Imaging, 2006.
  • J. Melonakos, K. Krishnan, and A. Tannenbaum. An ITK Filter for Bayesian Segmentation: itkBayesianClassifierImageFilter. Insight Journal, 2006.
  • J. Melonakos, R. Al-Hakim, J. Fallon, and A. Tannenbaum. Knowledge-Based Segmentation of Brain MRI Scans Using the Insight Toolkit. Insight Journal, 2005.