GRAPH IMAGE LANGUAGES IN SEMANTIC DESCRIPTION OF SPATIAL CORONARY ARTERIES STRUCTURE

Marek Ogiela; Mirosław Trzupek

doi:10.7494/csci.2005.7.4.115

Authors

Marek Ogiela Akademia Górniczo-Hutnicza
Mirosław Trzupek Akademia Górniczo-Hutnicza

DOI:

https://doi.org/10.7494/csci.2005.7.4.115

Keywords:

Medical pattern recognition, artiﬁcial intelligence, heart disease diagnosis, biomedical engineering, image understanding

Abstract

In this paper has been proposed developing the new syntactic – semantic meaning descriptionof spatial coronary arteries structure. Thanks such description will be possible to makeessentially steered semantic interpretation of section coronary arteries morphology, what willallow us fast identiﬁcation and automatisation of lumen stricture detection. In this aim hasbeen used graph image languages based on the expansive graph grammars of edNLC type,enabling creation the universal and informative meaning description of spatial coronaryarteries structure. Application of such semantic description in the integrated modules ofintelligent systems medical diagonosis, supporting the early detection stricture which defectthe ﬂow of oxidizing blood to given area of cardiac muscle.

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Author Biographies

Marek Ogiela, Akademia Górniczo-Hutnicza

Katedra Automatyki

Mirosław Trzupek, Akademia Górniczo-Hutnicza

Doktorant, Wydział EAIiE

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