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Introduction and Acknowledgements

Acknowledgments: This work is funded in part by Quantitative Imaging to Assess Response in Cancer Therapy Trials NIH grant U01-CA140206 and Quantitative Image Informatics for Cancer Research (QIICR) NIH grant U24 CA180918.
Authors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa)
Contact: Christian Bauer, <email></email>

License: Slicer License

The University of Iowa (UIowa)  
Quantitative Image Informatics for Cancer Research  
National Alliance for Medical Image Computing (NA-MIC)  

Extension Description

Segmentation of tumors and hot lymph nodes in PET scans. The software is based on the thesis of Markus L. van Tol (2014): A Graph-Based Method for Segmentation of Tumors and Lymph Nodes in Volumetric PET Images, The University of Iowa, 2014, and implemented as a Slicer Editor Effect.


  • PET Tumor Segmentation Editor Effect
  • PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effect for the actual processing. It is hidden from the GUI and not intended to be used directly.

Use Cases


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