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

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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