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American Journal of Roentgenology, Vol 152, Issue 6, 1161-1168
Copyright © 1989 by American Roentgen Ray Society

Articles

Three-dimensional techniques and artificial intelligence in thallium-201 cardiac imaging

EG DePuey, EV Garcia, and NF Ezquerra

Department of Radiology, Emory University School of Medicine, Atlanta, GA 30322.

Three-dimensional reconstruction techniques including bull's-eye polar-coordinate maps, surface rendering, and surface modeling have been developed that help interpreting physicians assimilate complex 3-D tomographic data. Comparison of patient data with normal files highlights myocardial perfusion abnormalities, thus facilitating their recognition. In addition, AI systems that use heuristically defined rules derived from an expert knowledge base assist inexperienced observers in drawing conclusions regarding scan abnormalities.
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E. V. Garcia, C. D. Cooke, R. D. Folks, C. A. Santana, E. G. Krawczynska, L. De Braal, and N. F. Ezquerra
Diagnostic Performance of an Expert System for the Interpretation of Myocardial Perfusion SPECT Studies
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A. Khorsand, M. Haddad, S. Graf, D. Moertl, H. Sochor, and G. Porenta
Automated Assessment of Dipyridamole 201Tl Myocardial SPECT Perfusion Scintigraphy by Case-Based Reasoning
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