Abstract
PROLOG (PROgramming in LOGic) is the declarative programming language at the heart of the Japanese fifth-generation computer project. It is proposed that PROLOG is a suitable tool for symbolic image processing, once standard preprocessing has been done. In the present application, the problem of prediction of coronary anatomy from myocardial scintigrams is addressed. Uncertainty is dealt with by a combination of fuzzy-set theoretic and probabilistic reasoning. Heuristic classification rules are based on clinical experience and on a set of 247 myocardial scintigrams with their corresponding coronary angiograms.
Similar content being viewed by others
References
Clocksin WF, Mellish CS (1984) Programming in Prolog. Springer, Berlin Heidelberg New York
Colmerauer A (1984) Prolog, langage de l'intelligence artificielle. La Recherche 158:1004–1017
Mamdani EH, Efstathiou HJ (1983) Logic and PRUF: A survey. IFAC, Symposium Marseille, France, 19–21 July
Shortliffe EH, Buchanon BG, Feigenbaum EA (1979) Knowledge engineering for medical decision making: a review of computerbased clinical decision acids. Proc IEEE 67:1207–1224
Szolovits P, Pauker SG (1978) Categorical and probabilistic reasoning in medical diagnosis. Artif Intell 11:115–144
Thomas AJ (1982) Expert systems for diagnostic imaging in digital imaging. Clinical Advances in Nuclear Medicine. The Society of Nuclear Medicine, New York
Zadeh LA (1965) Fuzzy sets. Inform Control 8:338–353
Zadeh LA (1983) The role of fuzzy logic in the management of uncertainty in expert systems. Memorandu no UCB/ERL M83/41. Electronics Research Laboratory, College of Engineering, University of California, Berkeley
Author information
Authors and Affiliations
Additional information
PROgramming in LOGic
Rights and permissions
About this article
Cite this article
Rosenberg, S., Itti, R. & Benjelloun, L. Symbolic reasoning about myocardial scintigrams in PROLOG. Eur J Nucl Med 12, 65–68 (1986). https://doi.org/10.1007/BF00364730
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF00364730