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Issue No. 03 - March (1985 vol. 7)
ISSN: 0162-8828
pp: 246-259
Herbert Feistel , Institut and Poliklinik für Nuklear-medizin, University Erlangen-Nürnberg, West Germany.
Friedrich Wolf , Institut and Poliklinik für Nuklear-medizin, University Erlangen-Nürnberg, West Germany.
Ingrid Hofmann , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Heinrich Niemann , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Gerhard Sagerer , Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany.
Horst Bunke , Lehrstuhl für Informatik 5 (Mustererkennung), 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.
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CITATION
Herbert Feistel, Friedrich Wolf, Ingrid Hofmann, Heinrich Niemann, Gerhard Sagerer, Horst Bunke, "A Knowledge Based System for Analysis of Gated Blood Pool Studies", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 7, no. , pp. 246-259, March 1985, doi:10.1109/TPAMI.1985.4767655
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