The Community for Technology Leaders
Green Image
Issue No. 03 - March (1985 vol. 7)
ISSN: 0162-8828
pp: 246-259
Heinrich Niemann , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Horst Bunke , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Ingrid Hofmann , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Gerhard Sagerer , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Friedrich Wolf , Institut and Poliklinik für Nuklear-medizin, University Erlangen-Nürnberg, West Germany.
Herbert Feistel , Institut and Poliklinik für Nuklear-medizin, University Erlangen-Nürnberg, West Germany.
ABSTRACT
A system for obtaining a complete diagnostic description of an image sequence taken in nuclear medicine from the human heart has been developed, implemented, and tested. The knowledge about these images is represented in a semantic net, conclusions are drawn by a production rule approach, and scoring of alternative diagnoses is based on fuzzy membership functions. On the low level, image pixels are smoothed and organ contours are extracted; these are the input for the high level processing. Tests with several image sequences gave correct descriptions as compared to the diagnosis of a physician.
INDEX TERMS
CITATION

H. Feistel, F. Wolf, I. Hofmann, H. Niemann, G. Sagerer and H. Bunke, "A Knowledge Based System for Analysis of Gated Blood Pool Studies," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 7, no. , pp. 246-259, 1985.
doi:10.1109/TPAMI.1985.4767655
86 ms
(Ver 3.3 (11022016))