|NOTE: As of November 2018, the new home of DICOM4QI is here: https://dicom4qi.readthedocs.io|
In 2015, Andrey Fedorov and Daniel Rubin came up with an idea of a collaborative project with the goal of testing and improving DICOM interoperability for communicating quantitative image analysis results (so called, "DICOM-QI connectathon"). This led to a Quantitative Imaging Reading Room (QIRR) exhibit at the annual convention of the Radiological Society of North America (RSNA) in 2015. The goal of that exhibit was to demonstrate DICOM-based communication of the image segmentation results. You can see the summary of the exhibit results in this poster.
In 2016, a larger group assembled aiming to continue and expand the scope of the original 2015 RSNA/QIRR DICOM for Quantitative Imaging (DICOM4QI) connectathon. Following successful application for participation, RSNA 2016 QIRR will feature the new iteration of the connectathon.
Evolution of the DICOM4QI task set
The scope of the initial iteration of DICOM4QI included only the DICOM segmentation objects.
Scope extended to include parametric maps and TID1500 structured reports.
Scope extended to include longitudinal datasets and DICOM tractography objects.