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Reseach Article

3D Segmentation and visualization of left coronary arteries of heart using CT images

Published on None 2010 by Dr. Md. Shorif Uddin, Md. Mosaddik Hasan, Md. Motiur Rahman
Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
Foundation of Computer Science USA
CASCT - Number 2
None 2010
Authors: Dr. Md. Shorif Uddin, Md. Mosaddik Hasan, Md. Motiur Rahman
5e375d0e-6ee2-4c3f-8618-b96d3cce348f

Dr. Md. Shorif Uddin, Md. Mosaddik Hasan, Md. Motiur Rahman . 3D Segmentation and visualization of left coronary arteries of heart using CT images. Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications. CASCT, 2 (None 2010), 88-92.

@article{
author = { Dr. Md. Shorif Uddin, Md. Mosaddik Hasan, Md. Motiur Rahman },
title = { 3D Segmentation and visualization of left coronary arteries of heart using CT images },
journal = { Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications },
issue_date = { None 2010 },
volume = { CASCT },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 88-92 },
numpages = 5,
url = { /specialissues/casct/number2/1001-36/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
%A Dr. Md. Shorif Uddin
%A Md. Mosaddik Hasan
%A Md. Motiur Rahman
%T 3D Segmentation and visualization of left coronary arteries of heart using CT images
%J Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
%@ 0975-8887
%V CASCT
%N 2
%P 88-92
%D 2010
%I International Journal of Computer Applications
Abstract

Coronary heart diseases (CHD) are one of the most prevalent causes of death all over the world. Noninvasive imaging technique such as Computed Tomography (CT) has greatly assisted the diagnosis of coronary heart diseases. Coronary vessels are 3D structures in nature. From CT images we get 3D structures. For a treatment plan or physicians’ surgical operations it is very important to segment out the coronary arteries of heart using CT images. After extraction of heart arteries it is also medically essential to visualize these arteries. In this paper novel image segmentation approach is proposed to segment the left coronary arteries of the heart and then a VTK pipeline is developed and implemented for 3D visualization of the segmented arteries. In this work after extraction of 3D heart shape the regional statistical information is incorporated in the structure through the Bayesian law. Finally the Marching Cube method is applied to extract the desired coronary arteries image. Then proposed VTK pipeline visualizes the segmented branches. The proposed segmentation framework segments out the main branches of the left coronary arteries, which is quite satisfactory.

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Index Terms

Computer Science
Information Sciences

Keywords

Single-channel MR image segmentation unsupervised clustering algorithm brain tissue classification