|NOTE: As of November 2018, the new home of DICOM4QI is here: https://dicom4qi.readthedocs.io|
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.
Notes to contributors to this document
The GitHub repository mirroring the content of this GitBook is located here: https://github.com/QIICR/rsna2016-qirr-dicom4qi
- 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