Difference between revisions of "PET Tumor Segmentation"

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==Screenshots==
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[[File:PETTumorSegmentationEffect_options.png|400px|PET Tumor Segmentation Editor Effect Options]]
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[[File:PETTumorSegmentation_Effect_with_models.png|600px|PET Tumor Segmentation Editor Effect]]
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[[File:Pet_lesions_mip.png|400px|PET MIP with head and neck lesions]]
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[[File:Pet_lesions_segmented.png|400px|segmented lesion]]

Revision as of 23:30, 8 January 2015

Home < PET Tumor Segmentation

Key Investigators

Christian Bauer (University of Iowa)

Project Description

Objective

  • Finalize tool for tumor and lymph node segmentation in PET scans
  • Make it publicly available through Slicer Extension Manager
  • Segmentation method based on Markus van Tol (2014): A Graph-Based Method for Segmentation of Tumors and Lymph Nodes in Volumetric PET Images, The University of Iowa

Approach, Plan

  • Main functionality of the tool has already been developed
  • Write self tests
  • replace solver with Slicer-license compatible solver
  • fine-tune GUI, prepare icon, etc.
  • document and clean up source code
  • create webpage with documentation and usage tutorial
  • get module into Slicer extension management system
  • potentially: add functionality to obtain quantitative measurements immediately during segmentation process

Progress

  • wrote self tests
  • cleaned source code
  • switched to new solver and verified correct behavior
  • switched to most recent version of 3D Slicer and verified correct behavior
  • created webpage with user documentation
  • put extension onto github and submitted for integration into Slicer extensions manager

Screenshots

PET Tumor Segmentation Editor Effect Options PET Tumor Segmentation Editor Effect PET MIP with head and neck lesions segmented lesion