Wang Lixin, Liu Xinxin, Liu Xiyun, Yang Zhihai, Yang Jian, Ai Danni, Wang Yongtian
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Apr;33(2):308-14.
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.
针对三维计算机断层扫描（CT）体数据上的牙齿分割问题，本文提出了一种用于CT图像牙齿结构测量的区域自适应可变形模型。所提出的方法结合了自动阈值分割、CV活动轮廓模型和图割。首先，我们通过自动阈值分割实现了牙冠的分割和定位。然后，以上述分割结果作为初始轮廓，利用活动轮廓方法逐步分割剩余牙齿部分。接着，通过结合活动轮廓和图割，我们实现了最难分割的牙根的精确分割。实验结果表明，所提出的牙齿结构测量方法能够准确、自动地从CT数据中分割出牙冠，然后快速、准确地分割出牙颈和牙根。使用所提出的方法可以有效地从CT数据中分割出牙齿结构。实验结果表明，所提出的方法相当稳健且准确，能够在临床治疗中有效地辅助医生进行诊断。
