Localizing Region-Based Level-set Contouring for Common Carotid Artery in Ultrasonography
Abstract: This work developed
a fully-automated and efficient method for detecting contour of common carotid
artery in the cross section view of two-dimensional B-mode sonography. First,
we applied a preprocessing filter to the ultrasound image for the sake of reducing
speckle. An adaptive initial contouring method was then performed to obtain the
initial contour for level set segmentation. Finally, the localizing
region-based level set segmentation automatically extracted the precise
contours of common carotid artery. The proposed method evaluated 130 ultrasound
images from three healthy volunteers and the segmentation results were compared
to the boundaries outlined by an expert. Preliminary results showed that the
method described here could identify the contour of common carotid artery with
satisfactory accuracy in this dataset.
Author: Yong Chen, Xiao Ming
Zhou, Dong C Liu
Jounal Code: jptkomputergg130111
