Difference between revisions of "Documentation/Nightly/Modules/SEG2NRRD"
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Acknowledgments: | Acknowledgments: | ||
This work is done as part of the [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)] initiative of the National Cancer Institute, and is funded by the National Institutes of Health, National Cancer Institute through the grants U24 CA180918 (PIs Kikinis & Fedorov) and U01 CA151261 (PI Fiona Fennessy).<br> | This work is done as part of the [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)] initiative of the National Cancer Institute, and is funded by the National Institutes of Health, National Cancer Institute through the grants U24 CA180918 (PIs Kikinis & Fedorov) and U01 CA151261 (PI Fiona Fennessy).<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] | ||
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− | * Source code: https://github.com/QIICR/Reporting/blob/master/SEGSupport/ | + | * Source code: https://github.com/QIICR/Reporting/blob/master/SEGSupport/SEG2NRRD.cxx |
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Revision as of 14:14, 4 January 2016
Home < Documentation < Nightly < Modules < SEG2NRRD
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Extension: Reporting | |||||||||
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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.
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 [2] DICOM Segmentation IOD. http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_A.51.html
Information for Developers