Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
Segmentation of dense tissue and lumen of human artery on ultrasound image is one of the tasks of each system that facilitates an extent assessment of arteries atherosclerotic lesions by ultrasound scan. The system which allows to segment ultrasound images of the carotid arteries was proposed in this paper. The system is based on two genetic algorithms (GA). GA was proposed for automatization of construction of ultrasound segmentation methods. The genetic algorithm find different solutions for predetermined processing result. Effectiveness of construction methods for image processing algorithm depends on the characteristics of images. Parallel genetic algorithm is used to find dependences between values of texture parameters of images and processing techniques. Ultrasound image processing system which is based on the above-described genetic algorithms allows to improve quality and speed of determining stage of atherosclerotic disease.
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