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
Department瞬态光学技术国家重点实验室
2018-09
Source PublicationIEEE Journal of Biomedical and Health Informatics
ISSN21682194;
Volume22Issue:5Pages:1531-1539
Contribution Rank1
AbstractIntravascular 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
Indexed ByEI
Language英语
PublisherInstitute of Electrical and Electronics Engineers Inc.
EI Accession Number20174704442408
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30843
Collection瞬态光学技术国家重点实验室
Corresponding AuthorJin, Qinhua
Affiliation1.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
Recommended Citation
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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