Graph Image Language Techniques Supporting Advanced Classification and Cognitive Interpretation of CT Coronary Vessel Visualizations - Computational Intelligence Paradigms in Advanced Pattern Classification - page 107

Fig. 12 The result of the analysis in the search for pathological changes occurring in the CT
image of coronary arteries
Results obtained in the research conducted show that graph languages for de-
scribing shape features can be effectively used to describe 3D reconstructions of
coronary vessels and also to formulate semantic meaning descriptions of lesions
found in these reconstructions. Such formalisms, due to their significant descrip-
tive power (characteristic especially for graph grammars) can create models of
both examined vessels whose morphology shows no lesions and those with visible
lesions bearing witness to early or more advanced stages of the ischemic heart dis-
ease. By introducing the appropriate spatial relations into the coronary vessel re-
construction, it is possible to reproduce their biological role, namely the blood dis-
tribution within the whole coronary circulation system, which also facilitates
locating and determining the progression stage of lesions. All of this makes up a
process of automatically understanding the examined 3D structure, which allows
us to provide the physician with far more and far more valuable premises for