Difference between revisions of "Project Week 25/DICOM for Quantitative Imaging and Integration with Processing Applications"

From NAMIC Wiki
Jump to: navigation, search
 
(8 intermediate revisions by 4 users not shown)
Line 8: Line 8:
 
* [https://www.dkfz.de/en/mic/team/people/Jasmin_Metzger.html Jasmin Metzger] (German Cancer Research Center (DKFZ), Germany)
 
* [https://www.dkfz.de/en/mic/team/people/Jasmin_Metzger.html Jasmin Metzger] (German Cancer Research Center (DKFZ), Germany)
 
* [http://www.spl.harvard.edu/pages/People/pieper Steve Pieper] (Isomics Inc., USA)
 
* [http://www.spl.harvard.edu/pages/People/pieper Steve Pieper] (Isomics Inc., USA)
* [http://www.spl.harvard.edu/pages/People/fedorov Andrey Fedorov](remote) (Brigham and Women's Hospital, Harvard Medical School, USA)
+
* [https://fedorov.github.io Andrey Fedorov](remote) (Brigham and Women's Hospital, Harvard Medical School, USA)
* Jean-Christophe Fillion-Robin (Kitware)
+
* [https://www.kitware.com/jean-christophe-fillion-robin/ Jean-Christophe Fillion-Robin] (Kitware, Inc., USA)
  
 
==Project Description==
 
==Project Description==
Line 22: Line 22:
 
** DICOM Segmentation (SEG) objects
 
** DICOM Segmentation (SEG) objects
 
** DICOM Parametric map (PM) objects
 
** DICOM Parametric map (PM) objects
 +
** Interoperability (Slicer, MITK, XNAT, Web Viewers)
 
** Interaction with processing algorithms and pipelines (CLI, Docker)
 
** Interaction with processing algorithms and pipelines (CLI, Docker)
** Integration with databases (CTK DICOM Database, XNAT, Elasticsearch)
+
** Integration with databases (CTK DICOM Database, Elasticsearch, Postgres/XNAT)
  
 
|<!-- Approach and Plan bullet points -->
 
|<!-- Approach and Plan bullet points -->
Line 29: Line 30:
 
* Create examples of interoperability with pipelines and databases
 
* Create examples of interoperability with pipelines and databases
 
* Preparing the satellite event at MICCAI 2017
 
* Preparing the satellite event at MICCAI 2017
 +
  
 
|<!-- Progress and Next steps (fill out at the end of project week), bullet points -->
 
|<!-- Progress and Next steps (fill out at the end of project week), bullet points -->
  
 +
* Many discussions about detailed implementation and use
 +
* Prototyping with cornerstone/slicer/dcmqi/mitk integration
 +
 +
Next steps:
 +
* Load SR in MITK and finalize interoperability demonstration for MICCAI and RSNA
 
|}
 
|}
  
Line 46: Line 53:
 
* [http://qiicr.org/dicom4miccai/ Tutorial satellite event at MICCAI 2017 DICOM4MICCAI]
 
* [http://qiicr.org/dicom4miccai/ Tutorial satellite event at MICCAI 2017 DICOM4MICCAI]
 
* [https://github.com/QIICR/dcmqi dcmqi] - tools to convert image analysis results into DICOM objects
 
* [https://github.com/QIICR/dcmqi dcmqi] - tools to convert image analysis results into DICOM objects
 +
* [http://qiicr.org/dcmqi-guide/tutorials/intro.html dcmqi self-guided video tutorials]
 +
* [https://qiicr.gitbooks.io/dicom4qi DICOM4QI: DICOM for Quantitative Imaging demonstration and connectathon at RSNA]

Latest revision as of 12:36, 30 June 2017

Home < Project Week 25 < DICOM for Quantitative Imaging and Integration with Processing Applications


Back to Projects List

Key Investigators

Project Description

Objective Approach and Plan Progress and Next Steps
  • Discuss topics related to using the DICOM standard for storing results of quantitative image analysis
    • DICOM Structured Reports (SR)
    • DICOM Segmentation (SEG) objects
    • DICOM Parametric map (PM) objects
    • Interoperability (Slicer, MITK, XNAT, Web Viewers)
    • Interaction with processing algorithms and pipelines (CLI, Docker)
    • Integration with databases (CTK DICOM Database, Elasticsearch, Postgres/XNAT)
  • Fix packaging issues of dcmqi (see dcmqi issue #260)
  • Create examples of interoperability with pipelines and databases
  • Preparing the satellite event at MICCAI 2017


  • Many discussions about detailed implementation and use
  • Prototyping with cornerstone/slicer/dcmqi/mitk integration

Next steps:

  • Load SR in MITK and finalize interoperability demonstration for MICCAI and RSNA

Illustrations


Background and References