Implementation and Comparison of Four Different Boundary Detection Algorithms for Quantitative Ultrasonic Measurements of the Human Carotid Artery
Paper in proceedings, 1997

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 marches it. We also present a quantitative and qualitative comparison between the four algorithms examined. It is shown that the dynamic programming algorithm provides superior performance in terms of accuracy and robustness. The correlation coefficients between automated measurements and manually obtained reference values were 0.96, 0.94, 0.63, and 0.85 for the dynamic programming, the maximum gradient, the model-based, and the matched filter algorithm, respectively (n=30).

Author

Tomas Gustavsson

Department of Applied Electronics, Imaging and Image Analysis

Rafeef Abu-Gharbieh

Department of Applied Electronics, Imaging and Image Analysis

Ghassan Hamarneh

Department of Applied Electronics, Imaging and Image Analysis

Q. Liang

Department of Applied Electronics, Imaging and Image Analysis

IEEE Conf. on Computers in Cardiology, Lund, Sweden, 7-10 Sep

Vol. 24 69-72

Subject Categories

Computer and Information Science

DOI

10.1109/CIC.1997.647832

More information

Created

10/7/2017