Ali K. Hamou, Said Osman, and Mahmoud R. El-Sakka, "Carotid
Ultrasound Segmentation using DP Active Contours",
International Conference on Image Analysis and Recognition,
ICIAR'2007, LNCS 4633, pp. 961-971, Springer-Verlag Berlin
Heidelberg, August 2007, Montreal, Canada.
Ultrasound provides a non-invasive means for visualizing
various tissues within the human body. However, these
visualizations tend to be filled with speckle noise and other
artifacts, due to the sporadic nature of high frequency sound
waves. Many techniques for segmenting ultrasound images have
been introduced in order to deal with these problems. One such
technique is the active contouring.
In this paper, two proposed alterations to the dynamic
programming parametric active contour model (or snake) are
introduced. The first alteration allows the snake to converge
to the one-response result of a modified Canny edge detector.
The second provides a function that allows a user to preset
a-priori knowledge about a given object being detected, by
means of curve fitting and energy modification. The results
yield accurate segmentations of cross-sectional transverse
carotid artery ultrasound images that are validated by an
independent clinical radiologist. Utilizing the proposed
alterations leads to a reduction of clinician interaction
time while maintaining an acceptable level of accuracy for
varying measures such as percent stenosis.