Difference between revisions of "Documentation/Nightly/Modules/EncodeSEG"
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Extension: [[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]]<br> | Extension: [[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]]<br> | ||
Acknowledgments: | Acknowledgments: | ||
| − | This work is done as part of the [http:// | + | This work is done as part of the [http://itcr.nci.nih.gov/ 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)<br> |
| − | Author: Andrey Fedorov | + | Author: Andrey Fedorov ({{collaborator|name|spl}}), Steve Pieper ({{collaborator|name|spl}})<br> |
Contact: Andrey Fedorov, fedorov at bwh dot harvard dot edu<br> | Contact: Andrey Fedorov, fedorov at bwh dot harvard dot edu<br> | ||
License: [http://www.slicer.org/pages/LicenseText Slicer License] | License: [http://www.slicer.org/pages/LicenseText Slicer License] | ||
Latest revision as of 14:16, 4 January 2016
Home < Documentation < Nightly < Modules < EncodeSEG
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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Extension: Reporting | |||||||||
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Module Description
This module can be used to convert image segmentations saved as raster maps in one of the research formats (i.e., NRRD, NIfTI, MHD) into DICOM Segmentation image object.
Use Cases
See (Fedorov et al. 2015) for details on the PET/CT quantitative analysis use case.
Tutorials
None at this time ... stay tuned!
Parameters:
()
* ':
** ':
*** ':
List of parameters generated transforming this XML file using this XSL file. To update the URL of the XML file, edit this page.
Similar Modules
References
[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 https://doi.org/10.7287/peerj.preprints.1541v1
Information for Developers
