Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations.

	Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations.
	Cheng, Xiaoguang; Hu, Qingmao; Gan, Yungen; Su, Liyilei; Fu, Xianjun; Zhang, Xiaodong; Ma, Yimin
刊名	IEEE ACCESS
	2018
文献子类	期刊论文
英文摘要	Image segmentation is critical and challenging in computer vision and medical image analysis. Despite decades of research, existing segmentation algorithms are still subject to typical segmentation problems, such as over-segmentation, under-segmentation, and non-closed and spurious edges. In this paper, taking the carpal bones from hand X-ray images as the foreground regions, we propose a segmentation approach to integrate segmentations fromregion-based and boundary-based methods to tackle these typical segmentation problems. First, adaptive local thresholding and adaptive Canny edge detection are explored to extract foreground regions and the edge map. Second, the integration of the edge map and foreground regions by XORing is proposed, to tackle the over-segmentation by adding a background boundary from the edge map near the carpal bone boundary so as to break the connection between the foreground and the over-segmented background, to handle under-segmentation by adding a foreground boundary from the edge map near the carpal bone boundary so as to enclose the missing foreground due to under-segmentation, and to complement non-closed edge and spurious edge from the edge map through the carpal bone regions from the local adaptive thresholding. Optionally, marker-controlled watershed segmentation or an active contour based method is employed to refine the integrated segmentation. The segmented foreground regions are identified through exploring a priormodel. The proposed approach has been validated on 30 representative X-ray hand images for non-overlapping carpal bones to yield an average Dice coefficient of 0.976 0.006. The proposed method could provide a theory or tool for accurately segmenting images with discernible boundaries and non-uniform grayscale distribution both within the background and foreground.
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/172644/14200]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Cheng, Xiaoguang,Hu, Qingmao,Gan, Yungen,et al. Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations.[J]. IEEE ACCESS,2018.
APA	Cheng, Xiaoguang.,Hu, Qingmao.,Gan, Yungen.,Su, Liyilei.,Fu, Xianjun.,...&Ma, Yimin.(2018).Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations..IEEE ACCESS.
MLA	Cheng, Xiaoguang,et al."Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations.".IEEE ACCESS (2018).