An expert system architecture and its application to the evaluation of scintigraphic image sequences

Author

Sagere, G. ; Niemann, H.

Author_Institution

Erlangen-Nurnberg Univ., West Germany

fYear

1988

fDate

8-10 Jun 1988

Firstpage

82

Lastpage

88

Abstract

A general framework for expert systems in the area of image understanding is described. It represents declarative knowledge in an associative network, allows the attachment of arbitrary procedural knowledge, and is used by a problem-independent control algorithm. This framework is used to implement a complete system for the diagnostic evaluation of scintigraphic images of the heart. The input to the system is an image sequence which is first preprocessed and segmented to obtain the left ventricle and its sectors. The contours of the ventricle and the sectors are the basis for knowledge-based analysis of the images. Analysis proceeds from the contour segments via objects and their motions to diagnostic descriptions of the image sequence. Experiments show that the system successfully completes analysis, and in particular does not make wrong diagnostic suggestions

Keywords

computerised picture processing; expert systems; medical computing; associative network; contours; declarative knowledge; diagnostic descriptions; diagnostic evaluation; expert system architecture; heart; image sequence; image understanding; knowledge-based analysis; left ventricle; motions; objects; preprocessed; problem-independent control algorithm; procedural knowledge; scintigraphic image sequences; sectors; segmented; Data preprocessing; Diagnostic expert systems; Expert systems; Heart; Image analysis; Image motion analysis; Image segmentation; Image sequence analysis; Image sequences; Motion analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering of Computer-Based Medical Systems, 1988., Proceedings of the Symposium on the

Conference_Location

Minneapolis, MN

Print_ISBN

0-8186-4863-5

Type

conf

DOI

10.1109/ECBS.1988.5451

Filename

5451