DocumentCode :
1655596
Title :
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
Link To Document :
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