Documentation/Nightly/Modules/PETTumorSegmentationEffect

For the latest Slicer documentation, visit the read-the-docs.

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>christian-bauer@uiowa.edu</email> License: Slicer License

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

Module Description

Editor Effect for segmentation of tumors and hot lymph nodes in PET scans.

Tutorials

Click on a lesion (tumor or hot lymph node) in a PET scan to segment it. Depending on refinement settings, click again to refine globally and/or locally. Options may help deal with cases such as segmenting individual lesions in a chain.

Editor Effect Options

References

• 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