An artificial neural network method for lumen and media-adventitia border detection in IVUS.

	An artificial neural network method for lumen and media-adventitia border detection in IVUS.
	Su, Shengran; Hu, Zhenghui; Lin, Qiang; Hau, William Kongto; Gao, Zhifan; Zhang, Heye
刊名	COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
	2017
文献子类	期刊论文
英文摘要	Intravascular ultrasound (IVUS) has been well recognized as one powerful imaging technique to evaluate the stenosis inside the coronary arteries. Thedetection of lumen border and media-adventitia (MA) border in IVUS images is the key procedure to determine the plaque burden inside the coronary arteries, but this detection could be burdensome to the doctor because of large volume of the IVUS images. In this paper, we use the artificial neural network (ANN)method as the feature learning algorithm for the detection of the lumen and MA borders in IVUS images. Two types of imaging information including spatial, neighboring features were used as the input data to the ANN method, and then the different vascular layers were distinguished accordingly through two sparse auto-encoders and one softmax classifier. Another ANN was used to optimize the result of the first network. In the end, the active contour model was applied to smooth the lumen and MA borders detected by the ANN method. The performance of our approach was compared with the manual drawing methodperformed by two IVUS experts on 461 IVUS images from four subjects. Results showed that our approach had a high correlation and good agreement with the manual drawing results. The detection error of the ANN method close to the error between two groups of manual drawing result. All these results indicated that our proposed approach could efficiently and accurately handle the detection of lumen and MA borders in the IVUS images. (C) 2016 Elsevier Ltd. All rights reserved.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12607]
专题	深圳先进技术研究院_数字所
作者单位	COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
推荐引用方式 GB/T 7714	Su, Shengran,Hu, Zhenghui,Lin, Qiang,et al. An artificial neural network method for lumen and media-adventitia border detection in IVUS.[J]. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS,2017.
APA	Su, Shengran,Hu, Zhenghui,Lin, Qiang,Hau, William Kongto,Gao, Zhifan,&Zhang, Heye.(2017).An artificial neural network method for lumen and media-adventitia border detection in IVUS..COMPUTERIZED MEDICAL IMAGING AND GRAPHICS.
MLA	Su, Shengran,et al."An artificial neural network method for lumen and media-adventitia border detection in IVUS.".COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2017).