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AORTA software system for automation of investigation in the field of estimating patient’s predisposition for atherosclerosis on the basis of genetic and phenotypic markers
Engineering Education # 01, January 2014
DOI: 10.7463/0114.0649691
The authors propose a method for automated investigation of aorta areas affected by atherosclerosis, in order to find a relation between somatic mutations of the mitochondrial genome in the cells of aortic walls and a degree of manifestation of arterial sclerotic disease in these areas. This method consists of several basic steps; they are aorta image segmentation, marking of connected components of the image, plotting an adjacency graph of image areas and decomposition of this adjacency graph. A structure of software system was proposed; AORTA software system which implements the proposed method was designed and developed. Tests and approbation of the system in the SRI of general pathology and pathophysiology of RAMS demonstrated its working capacity and usability.
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