Difference between revisions of "2016 Winter Project Week/Breakout Sessions/QIICRTools"

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__NOTOC__
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[[image:PW-MIT2016.png|300px]]
 
=QIICR Tools=
 
=QIICR Tools=
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[[Image:Boston2015-QIICR-group1.jpg|300px]]
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[[Image:Boston2015-QIICR-group2.jpg|300px]]
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[[Image:Boston2015-QIICR-group3.jpg|300px]]
  
 
==Goal==
 
==Goal==
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Project members expected to attend:
 
Project members expected to attend:
 
* Andrey Fedorov, BWH
 
* Andrey Fedorov, BWH
* Jayashree Kalpathy-Cramer, MGH (from 3:30pm)
 
 
* Ethan Ulrich, U. Iowa
 
* Ethan Ulrich, U. Iowa
 
*  Xiao Da, MGH
 
*  Xiao Da, MGH
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* DCMTK API
 
* DCMTK API
 
** http://support.dcmtk.org/docs-snapshot/mod_dcmseg.html
 
** http://support.dcmtk.org/docs-snapshot/mod_dcmseg.html
* Command-line conversion tools  
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* Command-line conversion tools (supporting use case in [1])
 
** conversion of SEG, RWVM, SR ([http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1500 TID 1500 Measurement report]) DICOM objects: https://github.com/QIICR/Iowa2DICOM
 
** conversion of SEG, RWVM, SR ([http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1500 TID 1500 Measurement report]) DICOM objects: https://github.com/QIICR/Iowa2DICOM
 
** conversion of SEG, integrated with Slicer: https://github.com/QIICR/Reporting/tree/master/SEGSupport
 
** conversion of SEG, integrated with Slicer: https://github.com/QIICR/Reporting/tree/master/SEGSupport
 
* User-level access to [http://thecancerimagingarchive.net The Cancer Imaging Archive]: https://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/TCIABrowser
 
* User-level access to [http://thecancerimagingarchive.net The Cancer Imaging Archive]: https://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/TCIABrowser
  
===DICOM learning and supporting tools===
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===DICOM learning, supporting tools, interoperability activities===
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* A Searchable Index of the DICOM Base Standard: https://fedorov.cloudant.com/dicom_search/.site/index.html
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* [https://atom.io/packages/dicom-dump dicom-dump plugin] for [http://atom.io Atom editor]: click interface to DCMTK dcmdump and dsrdump
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* DICOM SEG "connectathon" at RSNA 2015, poster: https://goo.gl/0WGmqm
  
 
===DICOM datasets===
 
===DICOM datasets===
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* [https://wiki.cancerimagingarchive.net/display/Public/QIN-HEADNECK QIN-HEADNECK collection on TCIA]: longitudinal PET/CT of head and neck cancer patients: includes CT, PET, RWVM, SEG, SR objects
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==References==
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[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

Latest revision as of 14:56, 7 January 2016

Home < 2016 Winter Project Week < Breakout Sessions < QIICRTools

PW-MIT2016.png

QIICR Tools

Boston2015-QIICR-group1.jpg Boston2015-QIICR-group2.jpg Boston2015-QIICR-group3.jpg

Goal

Give an overview of the various tools from the Quantitative Image Informatics for Cancer Research (QIICR) project that are available now or are being developed.

Participants

The session is aimed at the users and developers interested in the scope of QIICR work. Anyone interested is welcome to attend this session.

Project members expected to attend:

  • Andrey Fedorov, BWH
  • Ethan Ulrich, U. Iowa
  • Xiao Da, MGH
  • Michael Onken, Open Connections GmbH
  • Nicole Aucoin, BWH
  • Christian Herz, BWH

Outline

Slide sets and summary documents:

QIICR imaging biomarker analysis tools

DICOM informatics tools

DICOM learning, supporting tools, interoperability activities

DICOM datasets

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