5 December 2011 Automatic segmentation of coronary artery tree based on multiscale Gabor filtering and transition region extraction
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Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 80050W (2011) https://doi.org/10.1117/12.902638
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
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Fang Wang, Guozhu Wang, Lie Kang, Juan Wang, "Automatic segmentation of coronary artery tree based on multiscale Gabor filtering and transition region extraction", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050W (5 December 2011); doi: 10.1117/12.902638; https://doi.org/10.1117/12.902638
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