Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images
文献类型：期刊论文
| 作者 | Cao, Yihui1,2,3 ; Jin, Qinhua4; Chen, Yundai4; Yin, Qinye2; Qin, Xianjing5,6; Li, Jianan1; Zhu, Rui1; Zhao, Wei1
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| 刊名 | IEEE Journal of Biomedical and Health Informatics
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| 出版日期 | 2018-09 |
| 卷号 | 22期号:5页码:1531-1539 |
| ISSN号 | 21682194; |
| DOI | 10.1109/JBHI.2017.2771829 |
| 产权排序 | 1 |
| 英文摘要 | Intravascular optical coherence tomography is the state-of-the-art imaging modality in percutaneous coronary intervention planning and evaluation, in which side branch ostium and main vascular measurements play critical roles. However, manual measurement is time consuming and labor intensive. In this paper, we propose a fully automatic method for side branch ostium detection and main vascular segmentation to make up manual deficiency. In our method, side branch ostium points are first detected and subsequently used to divide the lumen contour into side branch and main vascular regions. Based on the division, main vascular contour is then smoothly fitted for segmentation. In side branch ostium detection, our algorithm creatively converts the definition of curvature into the calculation of the signed included angles in global view, and originally applies a differential filter to highlight the feature of side branch ostium points. A total of 4618 images from 22 pullback runs were used to evaluate the performance of the presented method. The validation results of side branch detection were TPR = 82.8%, TNR = 98.7%, PPV = 86.8%, NPV = 98.7%. The average ostial distance error (ODE) was 0.22 mm, and the DSC of main vascular segmentation was 0.96. In conclusion, the qualitative and quantitative evaluation indicated that the presented method is effective and accurate. © 2013 IEEE. |
| 语种 | 英语 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 源URL | [http://ir.opt.ac.cn/handle/181661/30843]  |
| 专题 | 西安光学精密机械研究所_瞬态光学技术国家重点实验室 |
| 通讯作者 | Jin, Qinhua |
| 作者单位 | 1.State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; 2.School of the Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an; 710049, China; 3.University of Chinese Academy of Sciences, Beijing; 100049, China; 4.Department of Cardiology, Chinese PLA General Hospital, Beijing; 100853, China; 5.Department of Aerospace Biodynamics, Fourth Military Medical University, Xi'an; 710032, China; 6.Xidian University, Xi'an; 710071, China |
| 推荐引用方式 GB/T 7714 | Cao, Yihui,Jin, Qinhua,Chen, Yundai,et al. Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images[J]. IEEE Journal of Biomedical and Health Informatics,2018,22(5):1531-1539. |
| APA | Cao, Yihui.,Jin, Qinhua.,Chen, Yundai.,Yin, Qinye.,Qin, Xianjing.,...&Zhao, Wei.(2018).Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images.IEEE Journal of Biomedical and Health Informatics,22(5),1531-1539. |
| MLA | Cao, Yihui,et al."Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images".IEEE Journal of Biomedical and Health Informatics 22.5(2018):1531-1539. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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