Graph-Based Semantic Description in Medical Knowledge Representation and 3D Coronary Vessels Recognition

The work presents the new opportunity for making semantic descriptions of medical structures with the use of AI graph-based linguistic formalisms and especially graph grammar of edNLC type. In the paper there will be discussed in detail the manners of applying methods of computational intelligence to the development of a syntactic semantic description of spatial visualizations of the heart's coronary vessels. Thanks to these, the analysis conducted allows fast and - to a great degree - automated interpretation of the semantics of various morphological changes in the coronary vascular tree, and especially makes it possible to detect these stenoses in the lumen of the vessels that can cause critical decrease of blood supply to the heart muscle. Presented methodology of analysis can furthermore be used for attaining other goals related performance of computer-assisted semantic interpretation of selected elements and/or the entire 3D structure of the coronary vascular tree.

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