Abstract—Coronary heart disease ranks as the top disease which causes the death in the Egypt. Intravascular (IV) ultrasound imaging is used along with X-ray coronary angiography to detect vessel pathologies. This paper introduces three automated approaches for detection of lumen and media-adventitia borders in IV images. In the first method, a 2D median filter is used to initialize the lumen and media-adventitia contours. The second method uses the Lucy-Richardson method and the 2D median filter to determine the lumen border. Method three is a combination of two methods to combine their advantages. The catheter boundaries were automatically determined. This method shows a higher accuracy and ability to work under artifacts and noisy conditions.

Index Terms—Intravascular, segmentation, median filter, lucy-richardson method.

Mazhar B. Tayel is with the Faculty of Engineering, Alexandria University, Egypt.
M. A. Massoud is with the Department of Biomedical Engineering, El-Minia University, Egypt (e-mail: dr.massoud@mu.edu.eg).
Y. F. Shehata is with the Department of Computer and System Engineering, El-Minia University, Egypt (e-mail: eng.yasseen.farouk@mu.edu.eg).

Cite: Mazhar B. Tayel, M. A. Massoud, and Y. F. Shehata, "An Automatic Segmentation for Determination of IV Vessel Boundaries," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 4, no. 4, pp. 218-223, 2014.