NA-MIC/Projects/Structural/Segmentation/Rule based segmentation:DLPFC

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Home < NA-MIC < Projects < Structural < Segmentation < Rule based segmentation:DLPFC
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Objective: Semi Automatic Segmentation of the DLPFC.

Progress: We have developed an algorithm for Semi-Automatic Segmentation of the DLPFC based on the rules of Core 3 collaborator, Dr. James Fallon. This algorithm was tested last year in Matlab with successful results. This year, we implemented the algorithm into a 3D SLICER module which works with the current Editor Tab. A screenshot of the module is shown below. The ITK Bayesian Segmentation Filter is currently being incorporated into the module.

DLPFC Slicer Module
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DLPFC Slicer Module

Publication Reference: Ramsey Al-Hakim, James Fallon, Delphine Nain, John Melonakos, and Allen Tannenbaum. “A Dorsolateral Prefrontal Cortex Semi-Automatic Segmenter.” Proc SPIE Medical Imaging, 2006.

Key Investigators:

  • Georgia Tech: Ramsey Al-Hakim, John Melonakos, Delphine Nain, Allen Tannenbaum.
  • UCI: James Fallon
  • Kitware: Luis Ibanez
  • Isomics: Steve Pieper

Links:

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