Abstract
Diameter measurements of vessel structures are of interest for a number of cardiovascular examinations. To support manual analysis of duplex ultrasound (US) images of human vessels and to improve the measurement accuracy and reproducibility, a semi-automatic approach has been developed which applies image processing techniques to compute reliably the vessel diameter. The proposed approach presents an interactive tool for measuring vessel diameters from US image sequences. A first derivative of a Gaussian (DoG) is applied for vessel wall detection followed up by a skeletonization step, and computation of horizontal line segments. Within a final classification step those line segments which show the highest likelihood are selected. The classification score is computed based on length, edge strength and linearity information. The overall approach has been evaluated at several sample sequences showing results outperforming “manual” measurements. It is currently applied in physiological studies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bleeker M, De Groot P, Rongen G, et al. Vascular adaptation to deconditioning and the effect of an exercise countermeasure: results of the berlin bed rest study. J Appl Physiol. 2005;99:1293–1300.
Green D, Swart A, Exterkate A, et al. Impact of age, sex and exercise on brachial and popliteal artery remodelling in humans. Atherosclerosis. 2010;210:525–30.
Thijssen D, De Groot P, Smits P, et al. Vascular adaptations to 8-week cycling training in older men. Acta Physiol (Oxf). 2007;190:221–8.
Jing J, Yan W, Xin G, et al. Automatic measurement of the artery intima-media thickness with image empirical mode decomposition. In: Proc IEEE ICIST; 2010. p. 306–10.
Gustavsson T, Abu-Gharbieh R, Hamarneh G, et al. Implementation and comparison of four different boundary detection algorithms for quantitative ultrasonic measurements of the human carotid artery. In: Comput Cardiol. Lund, Sweden: IEEE; 1997. p. 69–72.
Delsanto S, Molinari F, Giustetto P, et al. Characterization of a completely user- independent algorithm for carotid artery segmentation in 2-D ultrasound images. IEEE Trans Instrum Meas. 2007;56:1265–74.
Loizou C, Pattichis C, Christodoulou, et al. Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery. IEEE Trans Ultrason Ferroelectr Freq Control. 2005;52:1653–69.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bremser, M., Mittag, U., Weber, T., Rittweger, J., Herpers, R. (2012). Diameter Measurement of Vascular Structures in Ultrasound Video Sequences. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-28502-8_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28501-1
Online ISBN: 978-3-642-28502-8
eBook Packages: Computer Science and Engineering (German Language)