Blood Flow Generation in B-Mode Ultrasound Images of the Carotid Artery (WA-P8)

Author(s) : Ali Hamou (The University of Western Ontario, Canada) Mahmoud El-Sakka (The University of Western Ontario, Canada)

Abstract : This paper presents a novel blood flow detection scheme. Segmentation is utilized in order to achieve the accurate area of lumens within an ultrasound images. This scheme detects high and low levels of blood flow in ultrasound images of the carotid artery. The scheme allows for user-defined thresholding in order to provide tolerance levels within the contour detection process in order to overcome crippling interference noise and degrading artifacts within ultrasound images. Segmentation of the blood flow is achieved by using a painting algorithm. Since plaque buildup obstructs the flow of blood in the carotid artery, this scheme will identify these severe plaque-thickened or inflamed regions.

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