OPT OpenIR  > 瞬态光学技术国家重点实验室
Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images
Cao, Yihui1,2,3; Jin, Qinhua4; Chen, Yundai4; Yin, Qinye2; Qin, Xianjing5,6; Li, Jianan1; Zhu, Rui1; 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
ISSN21682194;
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.
DOI10.1109/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
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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Automatic Side Branc(1117KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Cao, Yihui]的文章
[Jin, Qinhua]的文章
[Chen, Yundai]的文章
百度学术
百度学术中相似的文章
[Cao, Yihui]的文章
[Jin, Qinhua]的文章
[Chen, Yundai]的文章
必应学术
必应学术中相似的文章
[Cao, Yihui]的文章
[Jin, Qinhua]的文章
[Chen, Yundai]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Automatic Side Branch Ostium Detection and Main Vascular Segmentation in Intravascular Optical Coherence Tomography Images.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。