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Proceedings Paper

An Application Of The Blackboard Architecture To Left Ventricular Boundary Detection
Author(s): Saeid Tehrani; Terry E. Weymouth; G. B. John Mancini
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Paper Abstract

Interpretation of X-ray motion pictures of the heart (cineventiculograms of the left ventricle) is complicated by the low contrast of the images and the elastic motion of the heart. We describe a framework for the application of knowledge in the form of diagnostically relevant models of the heart in motion to the problem of placing the heart boundary in each frame of the motion sequence. We employ a blackboard architecture [Nii 86;Weymouth 87] as a basis for the image interpretation. In this framework, local features, such as edges, are grouped to build a complete description of the moving heart. The knowledge is organized in a hierarchy with Knowledge sources (KS's) operating on different levels of the hierarchy. Opportunistic problem-solving techniques are used to control the order of activation of both data-directed and goal-driven KS's.

Paper Details

Date Published: 21 March 1989
PDF: 12 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969299
Show Author Affiliations
Saeid Tehrani, University of Michigan (United States)
Terry E. Weymouth, University of Michigan (United States)
G. B. John Mancini, University of Michigan (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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