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Reseach Article

Detection of narrowed coronary arteries in X-ray Angiographic images using contour processing of segmented Heart Vessels based on Hessian Vesselness Filter and Wavelet Based Image Fusion

by M. J. Rastegar Fatemi, Seyed Mostafa Mirhassani, Elham Ghasemi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 9
Year of Publication: 2011
Authors: M. J. Rastegar Fatemi, Seyed Mostafa Mirhassani, Elham Ghasemi
10.5120/4520-6416

M. J. Rastegar Fatemi, Seyed Mostafa Mirhassani, Elham Ghasemi . Detection of narrowed coronary arteries in X-ray Angiographic images using contour processing of segmented Heart Vessels based on Hessian Vesselness Filter and Wavelet Based Image Fusion. International Journal of Computer Applications. 36, 9 ( December 2011), 27-33. DOI=10.5120/4520-6416

@article{ 10.5120/4520-6416,
author = { M. J. Rastegar Fatemi, Seyed Mostafa Mirhassani, Elham Ghasemi },
title = { Detection of narrowed coronary arteries in X-ray Angiographic images using contour processing of segmented Heart Vessels based on Hessian Vesselness Filter and Wavelet Based Image Fusion },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 9 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number9/4520-6416/ },
doi = { 10.5120/4520-6416 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:22:44.637163+05:30
%A M. J. Rastegar Fatemi
%A Seyed Mostafa Mirhassani
%A Elham Ghasemi
%T Detection of narrowed coronary arteries in X-ray Angiographic images using contour processing of segmented Heart Vessels based on Hessian Vesselness Filter and Wavelet Based Image Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 9
%P 27-33
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a method for Detection of narrowed coronary arteries in X-ray Angiographic images is addressed. For this purpose firstly coronary arteries are segmented base on some probability masks which indicates the membership function of being a vessel for each pixel in the image. In order to build the membership functions whole of angiographic frames in the sequence are utilized. To this aim, angiographic sequence is filtered by the Hessian based vesselness filter to increase discrimination between the vascular structures and the background. Next, a 2D discrete wavelet transform is employed for fusion of the angiographic frames and their filtered versions. In the next step, the heart vessels are detected by applying the fused image with a couple of constant values as threshold coefficients. The coefficients are employed to adjust the effect of threshold. As a consequence, two images containing the detected vessels are yielded. After that, in order to mask out the redundant particles in the result morphological operations are employed. In order to find narrowed vessels their contours are obtained and the thickness of vessels is measured. A predefined threshold is employed to find the abrupt decrease in the vessel thickness. Experiments demonstrate the efficiency of the proposed method in order to detect the narrowed heart vessels in X-ray angiographic frames.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Vessel segmentation X-ray angiographic image Wavelet based image fusion Contour analysis Thickness measurement