Difference between revisions of "2010 Winter Project Week Spine Segmentation Module in Slicer3"

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m (moved 2010 Winter Project Week Spine Segmentation to 2010 Winter Project Week Spine Segmentation Module in Slicer3: New title indicate that we are developing a Slicer module.)
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
Our approach is to design a pattern recognition and analyze the statistics of the automated recognition to learn the optimal parameters.
 
 
Our plan for the project week is to integrate our code into Slicer 3.5.
 
Our plan for the project week is to integrate our code into Slicer 3.5.
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Our code analyzes the intensity profile of different regions in the MRI and automatically defines the optimum region for the CSF.
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
The algorithm is currently being implemented using ITK and VTK.
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The algorithm will be implemented using ITK and VTK.
  
 
</div>
 
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Revision as of 20:12, 4 December 2009

Home < 2010 Winter Project Week Spine Segmentation Module in Slicer3

Key Investigators

  • Heidelberg University: Martin Loepprich
  • MIT: Sylvain Jaume, Polina Golland
  • BWH: Ron Kikinis, Steve Pieper

Objective

We are developing a Slicer module to segment the region within the thecal sac in MRI images of the spine. Our objective is to provide a segmentation and visualization tool to improve the treatment of disc herniation. The structures of interests are the cerebro-spinal fluid (CSF), the discs, the vertebrae and the spinal nerves. The main challenge is to perform the segmentation in a fully automated way.

Approach, Plan

Our plan for the project week is to integrate our code into Slicer 3.5. Our code analyzes the intensity profile of different regions in the MRI and automatically defines the optimum region for the CSF.

Progress

The algorithm will be implemented using ITK and VTK.

References

  • Segmentation using Slicer 3.5, EMSegment module