For tooth segmentation problem on the three-dimensional computed tomography (CT) volume data, this paper proposes a regional adaptive deformable model for tooth structure measurement of CT images. The proposed method combines the automatic thresholding segmentation, CV active contour model, and graph-cut. Firstly, we achieved the segmentation and location of dental crowns by automatic thresholding segmentation. And then by using the above segmentation result as the initial contour, we utilized active contour method to slice gradually the segment of remaining tooth. By incorporating active contour and graph-cut then, we realized the accurate segmentation for tooth root, which is the most difficult to be segmented. The experimental results showed that the proposed tooth structure measurement accurately and automatically segmented dental crowns from CT data, and then rapidly and accurately segmented the tooth neck and tooth root. The structure of tooth could be effectively segmented from CT data by using the proposed method. Experimental results indicated that the proposed method was rather robust and accurate, and could effectively assist the doctor for diagnosis in clinical treatment.
Citation： WANGLixin, LIUXinxin, LIUXiyun, YANGZhihai, YANGJian, AIDanni, WANGYongtian. Quantitative Segmentation and Measurement of Tooth from Computed Tomography Image Based on Regional Adaptive Deformation Model. Journal of Biomedical Engineering, 2016, 33(2): 308-314. doi: 10.7507/1001-5515.20160052 Copy