An Application Of The Blackboard Architecture To Left Ventricular Boundary Detection

Saeid Tehrani; Terry E. Weymouth; G. B. John Mancini

doi:10.1117/12.969299

21 March 1989 An Application Of The Blackboard Architecture To Left Ventricular Boundary Detection

Saeid Tehrani, Terry E. Weymouth, G. B. John Mancini

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969299
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

Citation Download Citation

Saeid Tehrani, Terry E. Weymouth, and G. B. John Mancini "An Application Of The Blackboard Architecture To Left Ventricular Boundary Detection", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969299

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