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A glioblastoma multiform template was designed to leverage a controlled terminology for describing the 26 subjective MR features of human gliomas that was devised based upon prior work (VASARI project). The features comprehensively describe the morphology of brain tumors visualized on contrast-enhanced MRI. They can be captured as caBIGTM AIM formats, i.e. XML or DICOM SR, on the TCGA Radiology research workstation. MR images of TCGA gliomas are located at the National Biomedical Imaging Archive (NBIA).

Summary

Image annotations and markups are critical to “tagging” content in medical images. AIM annotations will be critical components of future image based research. The AIM project delivers an information model, encoding standards for the structure and content of image annotations, a web application used to create a controlled set of questions and answers that are captured as coded terms for a computer program to process.

AIM Governance

The AIM participants, policies, and procedures are explained in an AIM Governance document.

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