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A Knowledge Based System for Analysis of Gated Blood Pool Studies

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6 Author(s)
Heinrich Niemann ; Lehrstuhl für Informatik 5 (Mustererkennung), University Erlangen-Nürnberg, West Germany. ; Horst Bunke ; Ingrid Hofmann ; Gerhard Sagerer
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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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-7 ,  Issue: 3 )