PET Tumor Segmentation

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  Projects List

Key Investigators

Christian Bauer (University of Iowa)

Project Description

• Tool webpage: http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/PETTumorSegmentationEffect
• Github repository: https://github.com/chribaue/PETTumorSegmentation.git

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