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

From NAMIC Wiki
Jump to: navigation, search
(→‎Screenshots: intensity profile and 3D rendering obtained using our automated nerve segmentation algorithm)
Line 10: Line 10:
 
* Sylvain Jaume (MIT)
 
* Sylvain Jaume (MIT)
 
* Martin Loepprich (University of Heidelberg)
 
* Martin Loepprich (University of Heidelberg)
* Ron Kikinis (BWH)
+
* Ron Kikinis, Steve Pieper (BWH)
* Steve Pieper (BWH)
 
 
* Polina Golland (MIT)
 
* Polina Golland (MIT)
  

Revision as of 04:16, 15 January 2010

Home < 2010 Winter Project Week Spine Segmentation Module in Slicer3

Key Investigators

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

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.

Screenshots

Results of the SpineSegmentation module in Slicer 3.5
Results of the SpineSegmentation module in Slicer 3.5
Intensity profile of cross-section of a nerve in a WB-SSFP MRI image
Results of our automated nerve segmentation algorithm. The 3D rendering shows the nerves exiting the spinal cord and the ganglia

References

  • Segmentation using Slicer 3.5, EMSegment module