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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
Conference Name24th IEEE International Conference on Image Processing, ICIP 2017
Source Publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
Volume2017-September
Pages4432-4436
Conference Date2017-09-17
Conference PlaceBeijing, China
PublisherIEEE Computer Society
Contribution Rank1
Abstract

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.

Department瞬态光学技术国家重点实验室
DOI10.1109/ICIP.2017.8297120
Indexed ByEI
ISBN9781509021758
Language英语
ISSN15224880
EI Accession Number20181605019737
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30060
Collection瞬态光学技术国家重点实验室
Affiliation1.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
Recommended Citation
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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