dcmqi-guide
  • Introduction
  • Quick Start
  • Frequently Asked Questions (FAQ)
  • Tutorials
  • Use cases
    • Multi-structure segmentation of the brain
    • Segmentations and measurements from prostate MRI
  • User guide
    • Installation
      • Binary packages
      • Docker images
      • Build from source
      • 3D Slicer extension
    • General principles
    • Coding schemes
      • DICOM-defined coding schemes
      • Searching for codes outside DICOM
      • "Private" coding schemes
    • Command line tools usage
      • Segmentations
        • itkimage2segimage
        • segimage2itkimage
      • Measurements
        • tid1500writer
        • tid1500reader
      • Parametric maps
        • itkimage2paramap
        • paramap2itkimage
  • Developer guide
    • Update Appveyor build dependencies
    • Github release generation
    • Add new attribute to the schema
  • Troubleshooting
  • Limitations
  • Open source credits
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  1. User guide

General principles

We use JSON to represent metadata that is either passed to the converter into DICOM, or that is extracted from DICOM representation.

As such, you will need to have some understanding of both DICOM and JSON if you want to use dcmqi.

We provide the following tools that can help you use dcmqi more effectively.

  • dicom-dump is an extension for Atom text editor that can be used to explore the content of DICOM data

  • dcmqi validators web app can be used to see examples of metadata JSON for specific object types, to explore the schema, and to validate your own metadata JSON against the schema

You can check out our Learning resources section for some reference material about JSON and DICOM that we found helpful.

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Last updated 7 years ago