Detection of the lumen and media-adventitia borders in IVUS imaging

Author

Zheng, Mao ; Yubin, Wang ; Yousheng, Wang ; Xiaodi, Sui ; Yali, Wang

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing

fYear

2008

Firstpage

1059

Lastpage

1062

Abstract

The detection of the lumen and media-adventitia borders is a key step in intravascular ultrasound (IVUS) processing. The traditional method for IVUS is based on the snake model or GVF Snake model. Actually, it is not easy to get the precise lumen and adventitia border of the IVUS image by only using the one of the above method. In this paper a new way is used in IVUS image processing. At first, the IVUS original image is preprocessed with the Canny edge detection of the Gaussian filters in different variances and circle Hough transform, or binary image processing. Then the preprocessed image is transformed by GVF. Finally, the noise dots on the GVF transforming image are removed and the desirable lumen and media-adventitia borders of IVUS image are obtained. The experimental results confirm the validity of the new method.

Keywords

Hough transforms; edge detection; filtering theory; medical image processing; Canny edge detection; Gaussian filters; IVUS image processing; IVUS imaging; binary image processing; circle Hough transform; intravascular ultrasound processing; lumen detection; media-adventitia borders; snake model; Active contours; Background noise; Biomedical image processing; Biomedical imaging; Control engineering; Diseases; Filters; Image edge detection; Image processing; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2178-7

Electronic_ISBN

978-1-4244-2179-4

Type

conf

DOI

10.1109/ICOSP.2008.4697311

Filename

4697311