ARTIFICIAL INTELLIGENCE METHODS IN ANALYSIS OF MORPHOLOGY OF SELECTED STRUCTURES IN MEDICAL IMAGES

Abstract

The goal of this paper is the presentation of the possibilitics of application of syntactic methods of Computer image analysis for recognition of local stenoses of coronary arteries lumen and dctcction of pathological signs in upper parts of ureter ducts and rcnal calyxcs. Analysis of correct morphology of these structures is possiblc thanks to the application of sequcncc and trec methods from the group of syntactic methods of pattem recognition. In the case of analysis of coronary arteries images the main objective is computer-aidcd carly diagnosis of different forms of ischcmic cardiovascular diseases. Such diseases may rcvcal in the form of stablc or unstablc disturbanccs of heart rhythm or infaretion. In analysis of kidney radiograms the main goal is recognition of local irrcgularities in ureter lumens and examination of morphology of rcnal pc!vis and calyxcs