Segmentation of arterial geometry from ultrasound images using balloon models

Chaoquan Chen, Tamie L. Poepping, Jason J. Beech-Brandt, Steven J. Hammer, Richard Baldock, Bill Hill, Paul Allan, William J. Easson, Peter R. Hoskins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for segmentation of arteries in ultrasound B-mode images using a modified balloon model is presented. The external force which pulls the contour to the arterial boundary is the combination of the gradient and the second order derivative of the image. For 3D segmentation the contour of the first slice is found, and this is used as the initial position for the next slice. As the initial position of the contour may be outside the artery, the pressure term is decided by comparing the feature of texture inside and outside of the contour, allowing the contour to expand or shrink. The model has been tested on 55 images from carotid arteries. The 'gold standard' boundary drawn by a radiologist and the segmented boundary showed an average difference of 0.40 ± 0.30mm. 3D data was obtained using an anatomically correct carotid bifurcation flow phantom and gridded ready for CFD.

Original languageEnglish
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro
PublisherIEEE
Pages1319-1322
Number of pages4
ISBN (Print)0780383885
DOIs
Publication statusPublished - 7 Mar 2005
Event2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano 2004 - Arlington, VA, United States
Duration: 15 Apr 200418 Apr 2004

Conference

Conference2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano 2004
CountryUnited States
CityArlington, VA
Period15/04/0418/04/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Chen, C., Poepping, T. L., Beech-Brandt, J. J., Hammer, S. J., Baldock, R., Hill, B., Allan, P., Easson, W. J., & Hoskins, P. R. (2005). Segmentation of arterial geometry from ultrasound images using balloon models. In 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (pp. 1319-1322). IEEE. https://doi.org/10.1109/ISBI.2004.1398789