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

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CASCT
© 2010 by IJCA Journal
Number 2 - Article 7
Year of Publication: 2010
Authors:
Md. Motiur Rahman
Dr. Md. Shorif Uddin
Md. Mosaddik Hasan
10.5120/1001-36

Md. Motiur Rahman Dr. Md. Shorif Uddin Md. Mosaddik Hasan. Article: 3D Segmentation and visualization of left coronary arteries of heart using CT images. IJCA,Special Issue on CASCT (2):88–92, 2010. Published By Foundation of Computer Science. BibTeX

@article{key:article,
	author = {Dr. Md. Shorif Uddin, Md. Mosaddik Hasan, Md. Motiur Rahman},
	title = {Article: 3D Segmentation and visualization of left coronary arteries of heart using CT images},
	journal = {IJCA,Special Issue on CASCT},
	year = {2010},
	number = {2},
	pages = {88--92},
	note = {Published By Foundation of Computer Science}
}

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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