DOI: 10.1148/rg.273065153
GridCAD: Grid-based Computer-aided Detection System1
Tony C. Pan, MS,
Metin N. Gurcan, PhD,
Stephen A. Langella, MS,
Scott W. Oster, MS,
Shannon L. Hastings, MS,
Ashish Sharma, PhD,
Benjamin G. Rutt, MS,
David W. Ervin, BA,
Tahsin M. Kurc, PhD,
Khan M. Siddiqui, MD,
Joel H. Saltz, MD, PhD, and
Eliot L. Siegel, MD
1 From the Department of Biomedical Informatics, Ohio State University, 3190 Graves Hall, 333 W 10th Ave, Columbus, OH 43210 (T.C.P., M.N.G., S.A.L., S.W.O., S.L.H., A.S., B.G.R., D.W.E., T.M.K., J.H.S.); VA Maryland Health Care System, Baltimore, Md (K.M.S., E.L.S.); and University of Maryland School of Medicine, Baltimore, Md (E.L.S.). Presented as an infoRAD exhibit at the 2005 RSNA Annual Meeting. Received August 17, 2006; revision requested September 22 and received November 8; accepted December 20. Supported in part by the National Cancer Institute, the National Science Foundation (CNS-0509326, CNS-0403342, ANI-0330612), the National Institutes of Health (NIBIB BISTI P20EB000591), and the Ohio Board of Regents (BRTTC BRTT02 0003, ODOD-AGMT-TECH-04 049). M.N.G. is a stockholder in iCAD. K.M.S. is a speaker for TeraRecon, San Mateo, Calif; cofounder of iVirtuoso, Baltimore, Md; and a member of the advisory board of GE Healthcare IT, Barrington, Ill. E.L.S. received research funding from GE Healthcare. All other authors have no financial relationships to disclose.

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Figure 3. CT image with overlay shows different abnormalities identified by two CAD algorithms from different vendors. Findings marked by each algorithm are identifiable according to the geometric shape (circles or squares) and color (red or blue; here, shown in black) of the mark. In the gridCAD framework, the CAD systems are connected to the grid infrastructure as services, and the user can invoke more than one at a time.
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Copyright © 2007 by the Radiological Society of North America.