DocumentCode :
275608
Title :
An expert system for the identification of meaningful regions within MR brain images
Author :
Wells, M.G. ; Law, A.N.R. ; Allen, A.R.
Author_Institution :
Aberdeen Univ., UK
fYear :
1989
fDate :
18-20 Jul 1989
Firstpage :
378
Lastpage :
383
Abstract :
Discusses the design criteria for building a knowledge-based expert system that will reliably and efficiently identify normal and abnormal anatomical or physiological regions within medical images. Its knowledge system architecture is based on the blackboard model and the reasons for choosing this model are discussed. The main features of such a system have been applied to a prototype expert system for identifying meaningful regions within transaxial nuclear magnetic resonance (NMR) brain images
Keywords :
biomedical NMR; brain; computerised picture processing; expert systems; medical diagnostic computing; MR brain images; NMR; abnormal anatomical regions; abnormal physiological regions; blackboard model; knowledge system architecture; knowledge-based expert system; medical images; normal anatomical regions; normal physiological regions; nuclear magnetic resonance;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1989., Third International Conference on
Conference_Location :
Warwick
Type :
conf
Filename :
132154
Link To Document :
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