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	Angled Tooth Segmentation from Computerized Tomography Images
	Yangzhou Gan; Zeyang Xia; Jing Xiong; Xinwen Zhou; Guanglin Li; Qunfei Zhao
	2017
会议日期	2017
会议地点	Jeju Island, Korea
英文摘要	Tooth contour segmentation from dental computerized tomography (CT) images is one of the fundamental steps in reconstructing the three-dimensional models of teeth. However, existing methods depend on the tooth shape similarity between adjacent slices, and have difficulty to segment these angled teeth whose contour shapes from adjacent slices may differ a lot. This study proposes a new method for contour segmentation of angled teeth from CT images. The volume of interest (VOI) of target tooth and corresponding tooth axis are first extracted from volumetric CT images. Local images within the VOI of target tooth are then rotated such that the tooth axis in the rotated images is perpendicular to the transverse section. Tooth contours are finally segmented from the rotated images using a hybrid level set model slice-by-slice. Experimental results verified that the proposed method was effective to segment contours of angled teeth from CT images.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12165]
专题	深圳先进技术研究院_医工所
作者单位	2017
推荐引用方式 GB/T 7714	Yangzhou Gan,Zeyang Xia,Jing Xiong,et al. Angled Tooth Segmentation from Computerized Tomography Images[C]. 见:. Jeju Island, Korea. 2017.

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