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Summary: Implementation and Comparison of Four Different Boundary
Detection Algorithms for Quantitative Ultrasonic Measurements of the
Human Carotid Artery
T. Gustavsson, R. Abu-Gharbieh, G. Hamarneh, Q. Liang
Applied Electronics, Chalmers University of Technology, Göteborg, Sweden
Abstract
In this paper we examine four algorithms for
automated ultrasonic boundary detection, and describe
the application of these algorithms to the quantification
of the intima-media thickness (IMT) in the human
carotid artery. The first algorithm uses a dynamic
programming approach to identify the boundary that
minimizes a certain cost function. The second algorithm
is based on finding points of maximum gradient. The
third algorithm employs a mathematical model
describing the intensity profile perpendicular to the two
boundaries defining the IMT. The last algorithm is based
on defining a template representing the intensity profile
across a boundary and applying a matched filter
procedure to find the image region that best matches it.
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