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

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Key Investigators

• Marco Nolden (German Cancer Research Center (DKFZ), Germany)
• Jasmin Metzger (German Cancer Research Center (DKFZ), Germany)
• Steve Pieper (Isomics Inc., USA)
• Andrey Fedorov(remote) (Brigham and Women's Hospital, Harvard Medical School, USA)
• Jean-Christophe Fillion-Robin (Kitware, Inc., USA)

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

• 

  Slicer

• 

  MITK

Background and References

• Tutorial satellite event at MICCAI 2017 DICOM4MICCAI
• dcmqi - tools to convert image analysis results into DICOM objects
• dcmqi self-guided video tutorials
• DICOM4QI: DICOM for Quantitative Imaging demonstration and connectathon at RSNA