Detection of artery section area using artificial immune system algorithm

Authors:
Kamil Riha;Peng Chen;Dongmei Fu
Affiliations:
Department of Telecommunications, Brno University of Technology, Brno, Czech Republic;Automation Department, University of Science and Technology Beijing, Beijing, P. R. China;Automation Department, University of Science and Technology Beijing, Beijing, P. R. China
Venue:
CSECS'08 Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing
Year:
2008

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Abstract

This article presents the complete chain of a method for the detection of artery section area in its perpendicular cut. The main components of the complete method are the Hough transformation for the detection of initial circle parameters and the method of discrimination-based artificial immune system for the classification of pixels located inside and outside of the artery. The source image for this processing procedure is an ultrasound B-mode picture. The main goal of this work is to find the curve of the heart cycle of blood pressure in an ultrasound video-sequence which contains a short sample (a few seconds) of pulsating geometric dimensions of the carotis comunis artery in time.