dgobbi / rsna2016-qirr-dicom4qi

DICOM4QI is an open connectathon with the purpose of evaluating interoperability of the image analysis tools and workstations, applied to exchange of the quantitative image analysis results using DICOM standard: https://qiicr.gitbooks.io/dicom4qi

Home Page:https://qiicr.gitbooks.io/dicom4qi

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Summary

DICOM4QI is an open demonstration and connectathon with the purpose of evaluating interoperability of the image analysis tools and workstations, applied to exchange of the quantitative image analysis results using DICOM standard.

We call this activity "a connectathon", but this is not an official IHE or RSNA connectathon. We use the word "connectathon" to describe the essence of the activity, and not our affiliation to official connectathons that are already established in the field.

DICOM4QI welcomes participation of the relevant tools independent of their origin (academic or commercial, open-source or not). The only requirement is to comply with the rules. Feedback on the formulation of the rules is welcomed from the participants!

For the past 2 years, DICOM4QI results have been presented at a Quantitative Imaging Reading Room (QIRR) of the Annual meeting of the Radiological Society of North America (RSNA).

The present document was created to help with the organization of the exhibit activity, and as such serves two purposes:

  • First, this is the place to develop and document operating procedures, expectations and organize test datasets.
  • Second, this document will be used to report the connectathon results.

References

  • Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. (2016) 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 https://doi.org/10.7717/peerj.2057

About

DICOM4QI is an open connectathon with the purpose of evaluating interoperability of the image analysis tools and workstations, applied to exchange of the quantitative image analysis results using DICOM standard: https://qiicr.gitbooks.io/dicom4qi

https://qiicr.gitbooks.io/dicom4qi