DICOM4MICCAI Hands-on
  • Introduction
  • Prerequisites
    • If you are attending the tutorial in-person
    • If you are following on your own
  • Using DICOM to store your analysis results
    • Using 3D Slicer to convert non-DICOM segmentation results
    • DICOM Structured Reporting for radiomics
    • Using 3D Slicer for storing analysis results in DICOM
      • Step 0: 3D Slicer interface basics
      • Step 1: Import DICOM data
      • Step 2: Load DICOM image
      • Step 3: Segment lesions
      • Step 3.1:QuantitativeReporting interface overview
      • Step 3.2: Create and initialize a new segment
      • Step 3.3: Segment the lesions
      • Step 4: Explore and store the analysis results in DICOM
      • Step 5: Reload the analysis results from DICOM
      • Exporting DICOM data from 3D Slicer
    • Using MITK Workbench for storing segmentation results in DICOM
      • Step 0: MITK interface basics
      • Step 1: Import DICOM data
      • Step 2: Load DICOM image
      • Step 3: Segment lesions
      • Step 4: Explore and store the segmentations in DICOM
      • Step 5: Reload the segmentations from DICOM
  • DICOM data wrangling
  • Further reading
Powered by GitBook
On this page

Further reading

PreviousDICOM data wrangling

Last updated 6 years ago

  • Excellent introductory book about DICOM: Pianykh, Oleg S. Digital imaging and communications in medicine (DICOM): a practical introduction and survival guide. Springer Science & Business Media, 2009.

  • DICOM4MICCAI tutorial at MICCAI 2017 where this notebook was first presented:

  • C++ library and command line conversion tools between research formats and DICOM:

  • TCIA QIN-HEADNECK collection explored in this notebook:

  • Manuscript covering everything DICOM about QIN-HEADNECK: Fedorov A., Clunie D., Ulrich E., Bauer C., Wahle A., Brown B., Onken M., Riesmeier J., Pieper S., Kikinis R., Buatti J., Beichel RR. DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ 4:e2057, 2016. DOI:

http://qiicr.org/dicom4miccai
https://github.com/qiicr/dcmqi
https://wiki.cancerimagingarchive.net/display/Public/QIN-HEADNECK
10.7717/peerj.2057