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arXiv · 1710.02732

A Semi-Automated Technique for Internal Jugular Vein Segmentation in Ultrasound Images Using Active Contours

Ebrahim Karami·Mohamed Shehata·Peter McGuire·Andrew Smith
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Abstract

The assessment of the blood volume is crucial for the management of many acute and chronic diseases. Recent studies have shown that circulating blood volume correlates with the cross-sectional area (CSA) of the internal jugular vein (IJV) estimated from ultrasound imagery. In this paper, a semi-automatic segmentation algorithm is proposed using a combination of region growing and active contour techniques to provide a fast and accurate segmentation of IJV ultrasound videos. The algorithm is applied to track and segment the IJV across a range of image qualities, shapes, and temporal variation. The experimental results show that the algorithm performs well compared to expert manual segmentation and outperforms several published algorithms incorporating speckle tracking.

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Ebrahim Karami, Mohamed Shehata, Peter McGuire, Andrew Smith. 2017-10-07. A Semi-Automated Technique for Internal Jugular Vein Segmentation in Ultrasound Images Using Active Contours. https://doi.org/10.1109/bhi.2016.7455865

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