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Adaboost-based detection and segmentation of bioresorbable vascular scaffolds struts in IVOCT images
Lu, Yifeng1,2; Cao, Yihui1,2,3; Jin, Qinhua4; Chen, Yundai4; Yin, Qinye3; Li, Jianan1; Zhu, Rui1; Zhao, Wei1
2018-02-20
会议名称24th IEEE International Conference on Image Processing, ICIP 2017
会议录名称2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
卷号2017-September
页码4432-4436
会议日期2017-09-17
会议地点Beijing, China
出版者IEEE Computer Society
产权排序1
摘要

Bioresorbable Vascular Scaffolds (BVS) are the most promising type of stent in percutaneous coronary intervention. For accurate BVS struts apposition assessment, intravascular optical coherence tomography (IVOCT) is the state-of-the-art imaging modality. However, manual analysis for IVOCT frames is time consuming and labor intensive. In this paper, we propose an automatic method for BVS struts center and region detection based on Adaboost algorithm and Haar-like features. Then, dynamic programming algorithm is applied to segment the contour of BVS struts. Based on the segmentation results, the apposed or malapposed struts can be automatically distinguished. By comparing the manual and automatic detection and segmentation results, our method correctly detected and segmented 87.7% of 4029 BVS struts with 18.6% false positives. The average Dice's coefficient for the correctly detected struts was 0.78. In conclusion, the evaluation suggested that this method is accurate and robust for BVS struts detection and segmentation. © 2017 IEEE.

作者部门瞬态光学技术国家重点实验室
DOI10.1109/ICIP.2017.8297120
收录类别EI ; ISTP
ISBN号9781509021758
语种英语
ISSN号15224880
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30060
专题瞬态光学技术国家重点实验室
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, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of the Electronic and Information Engineering, Xi'An Jiaotong University, Xi'an, China
4.Department of Cardiology, Chinese PLA General Hospital, Beijing, China
推荐引用方式
GB/T 7714
Lu, Yifeng,Cao, Yihui,Jin, Qinhua,et al. Adaboost-based detection and segmentation of bioresorbable vascular scaffolds struts in IVOCT images[C]:IEEE Computer Society,2018:4432-4436.
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