Difference between revisions of "Documentation/Nightly/Extensions/QuantitativeReporting"

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Extension: [[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]]<br>
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Extension: [[Documentation/{{documentation/version}}/Extensions/QuantitativeReporting|QuantitativeReporting]]<br>
 
Acknowledgments:
 
Acknowledgments:
This work is done as part of the [http://itcr.nci.nih.gov/ Informatics Technology for Cancer Research (ITCR)] and [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)] initiatives 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>
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This work is done as part of the [http://itcr.nci.nih.gov/ Informatics Technology for Cancer Research (ITCR)] , and is funded by the National Institutes of Health, National Cancer Institute through the grant U24 CA180918 (PIs Kikinis & Fedorov).<br>
Author: Andrey Fedorov ({{collaborator|name|spl}}), Nicole Aucoin ({{collaborator|name|spl}}), Steve Pieper ({{collaborator|name|spl}})<br>
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Author: Christian Herz (SPL), Andrey Fedorov (SPL, BWH), Csaba Pinter (Queen's), Andras Lasso (Queen's), Steve Pieper (Isomics)<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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Documentation for this module is located at https://qiicr.gitbooks.io/quantitativereporting-guide
  
 
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*[[Documentation/{{documentation/version}}/Modules/EncodeSEG|EncodeSEG]]: converter of segmentations into DICOM Segmentation image format
 
*[[Documentation/{{documentation/version}}/Modules/SEG2NRRD|SEG2NRRD]]: converter of segmentations from DICOM Segmentation image format
 
  
 
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* [http://itcr.nci.nih.gov/ Informatics Technology for Cancer Research (ITCR)]
 
* [http://itcr.nci.nih.gov/ Informatics Technology for Cancer Research (ITCR)]
 
* [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)]
 
* [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin Quantitative Imaging Network (QIN)]
* 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
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* Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. (2016) DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ 4:e2057 https://doi.org/10.7717/peerj.2057
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* Sample data: [https://wiki.cancerimagingarchive.net/display/Public/QIN-HEADNECK TCIA QIN-HEADNECK collection]
  
 
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* Source code of the extension: https://github.com/fedorov/Reporting
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* Source code of the extension: https://github.com/QIICR/QuantitativeReporting
* Running EncodeSEG from Editor: https://github.com/Slicer/Slicer/blob/master/Modules/Scripted/EditorLib/EditUtil.py#L364-L505
 
 
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Latest revision as of 02:44, 7 February 2017

Home < Documentation < Nightly < Extensions < QuantitativeReporting


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


Template:Documentation/Nightly/extension-header

Introduction and Acknowledgements

QuantitativeReportingLogo.png

Extension: QuantitativeReporting
Acknowledgments: This work is done as part of the Informatics Technology for Cancer Research (ITCR) , and is funded by the National Institutes of Health, National Cancer Institute through the grant U24 CA180918 (PIs Kikinis & Fedorov).
Author: Christian Herz (SPL), Andrey Fedorov (SPL, BWH), Csaba Pinter (Queen's), Andras Lasso (Queen's), Steve Pieper (Isomics)
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  

Documentation for this module is located at https://qiicr.gitbooks.io/quantitativereporting-guide


Modules

References

Information for Developers