The complete set of LIDC/IDRI Images can be found at The Cancer Imaging Archive
Lung Image Archive WIKI contains supporting documentation for the LIDC/IDRI collection
Preliminary clinical studies have shown that spiral CT scanning of the lungs can improve early detection of lung cancer in high-risk individuals. Image processing algorithms have the potential to assist in lesion detection on spiral CT studies, and to assess the stability or change in lesion size on serial CT studies. The use of such computer-assisted algorithms could significantly enhance the sensitivity and specificity of spiral CT lung screening, as well as lower costs by reducing physician time needed for interpretation.
The intent of the Lung Imaging Database Consortium (LIDC) initiative was to support a consortium of institutions to develop consensus guidelines for a spiral CT lung image resource and to construct a database of spiral CT lung images. The investigators funded under this initiative created a set of guidelines and metrics for database use and for developing a database as a test-bed and showcase for those methods. The database is available to researchers and users through the Internet and has wide utility as a research, teaching, and training resource.
Specifically, the LIDC initiative aims were to provide:
This resource will stimulate further database development for image processing and CAD evaluation for applications that include cancer screening, diagnosis, and image guided intervention, and treatment. Therefore, the NCI encourages investigator-initiated grant applications that utilize the database in their research. NCI also encourages investigator-initiated grant applications that provide tools or methodology that may improve or complement the mission of the LIDC.
See the Program Announcement: RFA: CA-01-001 LUNG IMAGE DATABASE RESOURCE FOR IMAGING RESEARCH for more information.
Contact regarding programmatic issues:
Barbara Y. Croft, Ph.D.
Cancer Imaging Program, NCI
6130 Executive Blvd., Suite 6000
Bethesda, MD 20892
The consortium is guided by a steering committee consisting of 2 members from each of the five awarded institutions and 2 members from the Cancer Imaging Program.
University of California, Los Angeles
University of Chicago
University of Iowa
University of Michigan