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Introduction and Acknowledgements

Extension: Reporting
Acknowledgments: This work is done as part of the Informatics Technology for Cancer Research (ITCR) initiative of the National Cancer Institute, and is funded by the National Institutes of Health, National Cancer Institute through the grant U24 CA180918 (PIs Kikinis & Fedorov).
Author: Andrey Fedorov (SPL), Steve Pieper (SPL)
Contact: Andrey Fedorov, fedorov at bwh dot harvard dot edu
License: Slicer License

Surgical Planning Laboratory (SPL)  
Isomics, Inc.  
National Alliance for Medical Image Computing (NA-MIC)  
Quantitative Image Informatics for Cancer Research  

Module Description

This module can be used to convert image segmentations saved as DICOM Segmentation image object into NRRD format. Relevant metadata is saved in the .info file.

Use Cases

See (Fedorov et al. 2015) for details on the PET/CT quantitative analysis use case.


None at this time ... stay tuned!


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Similar Modules


[1] Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. (2015) DICOM for quantitative imaging biomarker development: A standards based approach to sharing of clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ PrePrints 3:e1921 [2] DICOM Segmentation IOD.

Information for Developers