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The National Cancer Institute (NCI) invites applications from investigators who are interested in joining a consortium of institutions to develop the necessary consensus and standards for an image database resource and to construct a database of spiral computed tomography (CT) lung images. There is considerable interest in using spiral CT lung scanning for lung cancer screening for patients at high risk. Early detection and intervention may significantly reduce lung cancer mortality rates. The use of image processing methods may be an important adjunct to facilitate spiral CT lung cancer screening. Investigators developing image-processing algorithms need standardized databases with which to work. The generation of standardized databases requires the development of consensus on many issues related to database design, accessibility, metrics and statistical methods for evaluating image-processing algorithms. NCI therefore plans to establish a consortium of institutions, called the Lung Image Database Consortium (LIDC), to develop such consensus and the necessary database.
- Set aside: $7M over five years, five academic sites.
- Announced April 10, 2000
- Letter of Intent Receipt Date(s): June 9, 2000
- Application Receipt Date(s): July 14, 2000
- Contact: Barbara Y. Croft, Ph.D. (bc129b@nih.gov 1) at 301-496-9531
See full description in NIH Guide: RFA: CA-01-001 2 |
