Intelligent image content description and analysis for 3D visualizations of coronary vessels

Authors:
Mirosław Trzupek;Marek R. Ogiela;Ryszard Tadeusiewicz
Affiliations:
AGH University of Science and Technology, Institute of Automatics, Laboratory of Biocybernetics, Krakow, Poland;AGH University of Science and Technology, Institute of Automatics, Laboratory of Biocybernetics, Krakow, Poland;AGH University of Science and Technology, Institute of Automatics, Laboratory of Biocybernetics, Krakow, Poland
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Year:
2011

Citing 4
Cited 1

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Abstract

The paper will discuss in detail the new possibilities for making linguistic description and semantic interpretations of 64-slice spiral CT coronary vessels visualizations with the use of AI linguistic formalisms and especially ETPL(k) graph grammar. Current research shows that a significant part of diagnostic imaging, including of coronary arteries, is still difficult to automatically assess using computer analysis techniques aimed at extracting information having semantic meaning. The proposed syntactic semantic description makes it possible to intelligently model the examined structure and then to automatically find the locations of significant stenoses in coronary arteries and identify their morphometric diagnostic parameters.