The computer image analysis for the 2-D coronary arteriograms

Author

Yung-Nien Sun ; Shei-Hsi Chang ; Chien-Chuan Ko ; Chi-Wu Mao

Author_Institution

Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

978

Abstract

A new method for the automatic identification of coronary border is presented. It mainly utilizes mathematical morphology to segment the blood vessels and derive a refined skeleton for tracking. Finally, a tracking algorithm incorporated with a branching-point model, match filter, skeletons of blood vessels is applied to detect the arterial border and estimate the lumen width of blood vessels. Experiments reveal that the authors´ approach can not only eliminate background variations and noise, but accurately define the boundary of coronary angiograms.<>

Keywords

cardiology; diagnostic radiography; edge detection; image segmentation; mathematical morphology; medical image processing; 2D coronary arteriograms; arterial border detection; automatic identification; blood vessels; branching-point model; computer image analysis; coronary angiograms; coronary border; image segmentation; lumen width estimation; match filter; mathematical morphology; medical diagnostic imaging; noise; refined skeleton; tracking algorithm; two dimensional coronary arteriograms; Arteries; Biomedical imaging; Blood vessels; Cardiac disease; Humans; Image analysis; Image segmentation; Lesions; Skeleton; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320177

Filename

320177