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Automatic analysis of bioresorbable vascular scaffolds in intravascular optical coherence tomography images
Cao, Yihui1,2,3; Jin, Qinhua4; Lu, Yifeng1,3; Jing, Jing4; 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
2018-06-01
Source PublicationBIOMEDICAL OPTICS EXPRESS
ISSN2156-7085
Volume9Issue:6Pages:2495-2510
Contribution Rank1
Abstract

The bioresorbable vascular scaffold (BVS) is a new generation of bioresorbable scaffold (BRS) for the treatment of coronary artery disease. A potential challenge of BVS is malapposition, which may possibly lead to late stent thrombosis. It is therefore important to conduct malapposition analysis right after stenting. Since an intravascular optical coherence tomography (IVOCT) image sequence contains thousands of BVS struts, manual analysis is labor intensive and time consuming. Computer-based automatic analysis is an alternative, but faces some difficulties due to the interference of blood artifacts and the uncertainty of the struts number, position and size. In this paper, we propose a novel framework for a struts malapposition analysis that breaks down the problem into two steps. Firstly, struts are detected by a cascade classifier trained by AdaBoost and a region of interest (ROI) is determined for each strut to completely contain it. Then, strut boundaries are segmented within ROIs through dynamic programming. Based on the segmentation result, malapposition analysis is conducted automatically. Tested on 7 pullbacks labeled by an expert, our method correctly detected 91.5% of 5821 BVS struts with 12.1% false positives. The average segmentation Dice coefficient for correctly detected struts was 0.81. The time consumption for a pullback is 15 sec on average. We conclude that our method is accurate and efficient for BVS strut detection and segmentation, and enables automatic BVS malapposition analysis in IVOCT images. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
DOI10.1364/BOE.9.002495
Indexed BySCI ; EI
WOS KeywordSirolimus-eluting Stents ; Coronary-artery ; Struts ; Time
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
Funding OrganizationNational Natural Science Foundation of China(81501542)
WOS SubjectBiochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000433954500002
EI Accession Number20174704442408
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30352
Collection瞬态光学技术国家重点实验室
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
2.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Peoples Liberat Army Gen Hosp, Dept Cardiol, Beijing, Peoples R China
5.Fourth Mil Med Univ, Dept Aerosp Biodynam, Xian 710032, Shaanxi, Peoples R China
6.Xidian Univ, Xian 710071, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Cao, Yihui,Jin, Qinhua,Lu, Yifeng,et al. Automatic analysis of bioresorbable vascular scaffolds in intravascular optical coherence tomography images[J]. BIOMEDICAL OPTICS EXPRESS,2018,9(6):2495-2510.
APA Cao, Yihui.,Jin, Qinhua.,Lu, Yifeng.,Jing, Jing.,Chen, Yundai.,...&Zhao, Wei.(2018).Automatic analysis of bioresorbable vascular scaffolds in intravascular optical coherence tomography images.BIOMEDICAL OPTICS EXPRESS,9(6),2495-2510.
MLA Cao, Yihui,et al."Automatic analysis of bioresorbable vascular scaffolds in intravascular optical coherence tomography images".BIOMEDICAL OPTICS EXPRESS 9.6(2018):2495-2510.
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