Angled Tooth Segmentation from Computerized Tomography Images
文献类型：会议论文
| 作者 | Yangzhou Gan; Zeyang Xia; Jing Xiong; Xinwen Zhou; Guanglin Li; Qunfei Zhao |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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