Segmentation and Tracking of Coronary Artery Using Graph-Cut in CT Angiographic

Author

Li, Meng ; He, Huiguang ; Yi, Jianhua ; Lv, Bin ; Zhao, Mingchang

Author_Institution

Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents a semiautomatic method to detect the coronary arteries in X-ray CT angiography (CTA) images with simple user interaction. The algorithm is started with performing modified Otsu threshold method and clustering of superpixel to reconstruct the image. The interactive graph cut segmentation and an improved top-hat filter is used to extract the coronary artery in series of two dimension (2D) slice images. Finally, coronary artery tree is tracked with a method based on region average shift. The accuracy of coronary artery extraction has been validated in 16 CTA datasets. The results demonstrate this algorithm has satisfactory speed and efficiency. With more user interaction, the method can be easily extended to the arteries that are not detected automatically.

Keywords

computerised tomography; image reconstruction; image segmentation; medical image processing; 2D slice images; X-ray CT angiography; coronary artery segmentation; coronary artery tracking; graph cut; image reconstruct ion; modified Otsu threshold; Angiography; Arteries; Clustering algorithms; Computed tomography; Filters; Image reconstruction; Image segmentation; X-ray detection; X-ray detectors; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4132-7

Electronic_ISBN

978-1-4244-4134-1

Type

conf

DOI

10.1109/BMEI.2009.5305720

Filename

5305720