Amr R. Abdel-Dayem and Mahmoud R. El-Sakka, "Carotid Artery
Ultrasound Image Segmentation Using Fuzzy Region Growing",
International Conference on Image Analysis and Recognition,
ICIAR'2005, LNCS 3656, pp. 869-878, Springer-Verlag Berlin
Heidelberg, September 2005, Toronto, Canada.
In this paper, we propose a new scheme for extracting the
contour of the carotid artery using ultrasound images.
Starting from a user defined seed point within the artery, the
scheme uses the fuzzy region growing algorithm to create a
fuzzy connectedness map for the image. Then, the fuzzy
connectedness map is thresholded using a threshold selection
mechanism to segment the area inside the artery. Experimental
results demonstrated the efficiency of the proposed scheme in
segmenting carotid artery ultrasound images, and it is
insensitive to the seed point location, as long as it is
located inside the artery.