Coronary Artery Detection in X-Ray Angiogram with Fuzzy C-means Clustering Algorithm

  • Leila Kiani
Keywords: Angiography, Fourier Transform, Discrete Wavelet Transform, Matched filter, Fuzzy C-means clustering

Abstract

 This paper presents an algorithm for the segmentation of Blood Vessels from x-ray angiography of coronary artery images using Matched filters and Otsu thresholding. Identifying these arteries is a difficult process because of the vessel overlapping, and superimposition with various anatomical structures such as the ribs, the spine and the heart chambers. Firstly, the 3D Fourier and 2D Wavelet transforms are first used to eliminate the background and reduce noise in the images. Afterwards, a set of matched filters was applied to enhance the coronary arteries in the images. Finally with Otsu thresholding and 8-connected neighborhood pixels the segmented vessel was obtained.

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Published
2010-03-15
How to Cite
Kiani, L. (2010). Coronary Artery Detection in X-Ray Angiogram with Fuzzy C-means Clustering Algorithm. Majlesi Journal of Electrical Engineering, 3(4), 11-20. https://doi.org/https://doi.org/10.1234/mjee.v3i4.244
Section
Articles