Share Email Print
cover

Proceedings Paper

Automatic segmentation of coronary artery tree based on multiscale Gabor filtering and transition region extraction
Author(s): Fang Wang; Guozhu Wang; Lie Kang; Juan Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper presents a novel segmentation method for extracting coronary artery tree from angiogram, which is based on multiscale Gabor filtering and transition region extraction. Firstly the enhanced image is obtained after multiscale Gabor filtering, then the transition region of the enhanced image is extracted using the local complexity algorithm, and the final segmentation threshold is calculated, finally the image segmentation is achieved. To evaluate the performance of the proposed approach, we carried out experiments on various sets of angiographic images, and compared its effects with those of the improved top-hat segmentation method. The experiments indicate that the proposed method outperforms the latter method about better extraction of small vessels, more background elimination, better visualized coronary artery tree and continuity of the vessels.

Paper Details

Date Published: 5 December 2011
PDF: 5 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050W (5 December 2011); doi: 10.1117/12.902638
Show Author Affiliations
Fang Wang, Huazhong Univ. of Science and Technology (China)
Guozhu Wang, Huazhong Univ. of Science and Technology (China)
Lie Kang, Huazhong Univ. of Science and Technology (China)
Juan Wang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top