Lung segmentation based on customized active shape model from digital radiography chest images

	Lung segmentation based on customized active shape model from digital radiography chest images
	Gang Wu; Xiaodong Zhang; Suhuai Luo; Qingmao Hu
刊名	Journal of Medical Imaging and Health Informatics
	2015
英文摘要	In this paper, a customized active shape model to extract lungs from radiography chest images was proposed and validated. Firstly, the average active shape model, gray-scale projection and affine registration were employed to attain the initial lung contours. Secondly, a new objective function with constraints of distance and edge was proposed to push the vertices of active shape model to the real lung edge, pull the vertices out of the stomach gas regions, and have a more balanced distance distribution of vertices. Finally, multi-resolution representation and optimization were employed to attain fast optimization. Experimental results on a public database of 247 images showed that the proposed algorithm could achieve an average accuracy of 94.7%, which is 4.4% better than the traditional active shape model and 2.7% better than the active shape model with local invariant features.
收录类别	SCI
原文出处	http://www.aspbs.com/jmihi/a-s_jmihi.htm
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/7083]
专题	深圳先进技术研究院_医工所
作者单位	Journal of Medical Imaging and Health Informatics
推荐引用方式 GB/T 7714	Gang Wu,Xiaodong Zhang,Suhuai Luo,et al. Lung segmentation based on customized active shape model from digital radiography chest images[J]. Journal of Medical Imaging and Health Informatics,2015.
APA	Gang Wu,Xiaodong Zhang,Suhuai Luo,&Qingmao Hu.(2015).Lung segmentation based on customized active shape model from digital radiography chest images.Journal of Medical Imaging and Health Informatics.
MLA	Gang Wu,et al."Lung segmentation based on customized active shape model from digital radiography chest images".Journal of Medical Imaging and Health Informatics (2015).