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Corner Detection Based Automatic Segmentation of Bioresorbable Vascular Scaffold Struts in IVOCT Images
Qin, Xianjing1; Yao, Linlin2; Jin, Qinhua3; Jing, Jing3; Chen, Yundai3; Cao, Yihui2; Li, Jianan2; Zhu, Rui2
2018-10-26
会议名称40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
会议录名称40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
卷号2018-July
页码604-607
会议日期2018-07-18
会议地点Honolulu, HI, United states
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序2
摘要Bioresorbable Vascular scaffold (BVS) is a promising type of stent in percutaneous coronary intervention. Struts apposition assessment is important to ensure the safety of implanted BVS. Currently, BVS struts apposition analysis in IVOCT images still depends on manual delineation of struts, which is labor intensive and time consuming. Automatic struts segmentation is highly desired to simplify and speed up quantitative analysis. However, it is difficult to segment struts accurately based on the contour, due to the influence of fractures inside strut and blood artifacts around strut. In this paper, a novel framework of automatic struts segmentation based on four corners is introduced, in which priori knowledge is utilized that struts have obvious feature of box-shape. Firstly, a cascaded AdaBoost classifier based on enriched haar-like features is trained to detect struts corners. Then, segmentation result can be obtained based on the four detected corners of each strut. Tested on five pullbacks consisting of 483 images with strut, our novel method achieved an average Dice's coefficient of 0.82 for strut segmentation areas. It concludes that our method can segment struts accurately and robustly. Furthermore, automatic struts malapposition analysis in clinical practice is feasible based on the segmentation results. © 2018 IEEE.
作者部门瞬态光学技术国家重点实验室
DOI10.1109/EMBC.2018.8512440
收录类别EI
ISBN号9781538636466
语种英语
ISSN号1557170X
EI入藏号20184906172435
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/31110
专题瞬态光学技术国家重点实验室
作者单位1.Department of Aerospace Biodynamics, Fourth Military Medical University, Xi'an, Shaanxi; 710032, China;
2.Laboratory of Transient Optics and Photonics, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi; 710119, China;
3.Department of Cardiology, Chinese PLA General Hospital, Beijing, China
推荐引用方式
GB/T 7714
Qin, Xianjing,Yao, Linlin,Jin, Qinhua,et al. Corner Detection Based Automatic Segmentation of Bioresorbable Vascular Scaffold Struts in IVOCT Images[C]:Institute of Electrical and Electronics Engineers Inc.,2018:604-607.
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