Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images

doi:10.1109/JBHI.2017.2771829

OPT OpenIR > 瞬态光学研究室

	Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images
	Cao, Yihui1,2,3 ; Jin, Qinhua 4; Chen, Yundai 4; Yin, Qinye 2; Qin, Xianjing 5,6; Li, Jianan 1; Zhu, Rui 1; Zhao, Wei1
作者部门	瞬态光学技术国家重点实验室
	2018-09
发表期刊	IEEE Journal of Biomedical and Health Informatics
ISSN	21682194;
卷号	22 期号:5 页码:1531-1539
产权排序	1
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.
DOI	10.1109/JBHI.2017.2771829
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20174704442408
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/30843
专题	瞬态光学研究室
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.

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