TY - EJOUR
AU - Kiani, Leila
PY - 2024
DA - February
TI - Coronary Artery Detection in X-Ray Angiogram with Fuzzy C-means Clustering Algorithm
T2 - Majlesi Journal of Electrical Engineering
VL - 3
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/coronary-artery-detection-in-x-ray-angiogram-with-fuzzy-c-means-clustering-algorithm/
DO - 10.1234/mjee.v3i4.244
N2 - 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.
IS - 4
PB - OICC Press
KW - Fourier transform, Matched filter, Fuzzy C-Means clustering, Discrete Wavelet transform, Angiography 
EN -