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논문 기본 정보

자료유형
학술저널
저자정보
Tan Dat Trinh (Sai Gon University) Thieu Bao Tran (Sai Gon University) Le Nhi Lam Thuy (Sai Gon University) Ikuko Shimizu (Sai Gon University) Jin Young Kim (Tokyo University of Agriculture and Technology) Pham The Bao (Sai Gon University)
저널정보
한국전기전자학회 전기전자학회논문지 전기전자학회논문지 제23권 제2호
발행연도
2019.6
수록면
557 - 570 (14page)

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초록· 키워드

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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%.

목차

Abstract
Ⅰ. Introduction
Ⅱ. Proposed Method
Ⅲ. Experiment Results
Ⅳ. Conclusion
References

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