Chronic Disease

Imaging Database Resources Initiative (IDRI)

Computer aided diagnosis—imaging software analysis of digital data collected by X-ray CT, MRI, CT and PET—is increasingly central to the diagnosis and treatment of cancer. To ensure accuracy and optimum performance, it is important to evaluate new software methods for interpreting and managing this information in a standardized manner.

With this goal in mind, the Imaging Database Resources Initiative, a partnership funded through FNIH, created a public database of lung CT and X-ray images for use as a resource for the international medical imaging community. Led by the National Cancer Institute (NCI), seven academic centers and eight medical imaging companies together identified, addressed, and resolved challenging technical issues to create a robust database containing more than 1,000 anonymized cases from lung cancer screening trials, each carefully assessed and annotated by experienced radiologists.  This publicly available database can be used by developers of medical imaging and computer aided diagnosis technologies to spur development, validation, and dissemination of computer aided diagnosis in clinical practice. 

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed Reference Database of Lung Nodules on CT Scans appeared in the February 2011 issue of Medical Physics.

The Foundation for NIH raised over $1.2 million from the private sector to support this initiative.

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