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Automated Storage and Retrieval of Thin-Section CT Images to Assist Diagnosis: System Description and Preliminary Assessment¹

¹ From the Department of Radiology, Indiana University School of Medicine, UH 0279, 550 N University Blvd, Indianapolis, Indiana 46202 (A.M.A., H.W.M.); Department of Radiology, University of Wisconsin, Madison (L.S.B.); and Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Ind (C.E.B., A.C.K., C.P., J.D., C.R.S., A.M.). Supported by National Science Foundation grant IRI9711535 and National Institutes of Health grant 1 RO1 LM06543-01A1. From the 2001 RSNA scientific assembly. Received February 28, 2002; revision requested April 30; final revision received September 20; accepted October 24. Address correspondence to A.M.A. (e-mail: aaisen@iupui.edu).

A software system and database for computer-aided diagnosis with thin-section computed tomographic (CT) images of the chest was designed and implemented. When presented with an unknown query image, the system uses pattern recognition to retrieve visually similar images with known diagnoses from the database. A preliminary validation trial was conducted with 11 volunteers who were asked to select the best diagnosis for a series of test images, with and without software assistance. The percentage of correct answers increased from 29% to 62% with computer assistance. This finding suggests that this system may be useful for computer-assisted diagnosis.

© RSNA, 2003

Index terms: Computed tomography (CT), thin-section, 60.12115 • Computers, diagnostic aid, 60.12115, 60.12118 • Computers, educational aid, 60.12115 • Lung, CT, 60.12115, 60.12118 • Lung, diseases, 60.12115

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