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RISS 인기검색어
- 검색키워드
- 저자 : Le Nhi Lam Thuy (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Tan Dat Trinh,Pham The Bao,Le Nhi Lam Thuy,Ikuko Shimizu,김진영,Pham The Bao 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.2
In this study, a novel hierarchical approach is investigated to extract coronary vessel from X-ray angiogram. First, we propose to combine Decimation-free Directional Filter Bank (DDFB) and Homographic Filtering (HF)in order to enhance X-ray coronary angiographic image for segmentation purposes. Because the blood vesselensures that blood flows in only one direction on vessel branch, the DDFB filter is suitable to be used toenhance the vessels at different orientations and radius. In the combination with HF filter, our method cansimultaneously normalize the brightness across the image and increases contrast. Next, a coarse-to-finestrategy for iterative segmentation based on Otsu algorithm is applied to extract the main coronary vessels indifferent sizes. Furthermore, we also propose a new approach to segment very small vessels. Specifically,based on information of the main extracted vessels, we introduce a new method to extract junctions on thevascular tree and level of nodes on the tree. Then, the window based segmentation is applied to locate andextract the small vessels. Experimental results on our coronary X-ray angiography dataset demonstrate thatthe proposed approach can outperform standard method and attain the accuracy of 71.34%.
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Trinh, Tan Dat,Tran, Thieu Bao,Thuy, Le Nhi Lam,Shimizu, Ikuko,Kim, Jin Young,Bao, Pham The Institute of Korean Electrical and Electronics Eng 2019 전기전자학회논문지 Vol.23 No.2
In this study, a novel hierarchical approach is investigated to extract coronary vessel from X-ray angiogram. First, we propose to combine Decimation-free Directional Filter Bank (DDFB) and Homographic Filtering (HF) in order to enhance X-ray coronary angiographic image for segmentation purposes. Because the blood vessel ensures that blood flows in only one direction on vessel branch, the DDFB filter is suitable to be used to enhance the vessels at different orientations and radius. In the combination with HF filter, our method can simultaneously normalize the brightness across the image and increases contrast. Next, a coarse-to-fine strategy for iterative segmentation based on Otsu algorithm is applied to extract the main coronary vessels in different sizes. Furthermore, we also propose a new approach to segment very small vessels. Specifically, based on information of the main extracted vessels, we introduce a new method to extract junctions on the vascular tree and level of nodes on the tree. Then, the window based segmentation is applied to locate and extract the small vessels. Experimental results on our coronary X-ray angiography dataset demonstrate that the proposed approach can outperform standard method and attain the accuracy of 71.34%.
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