摘要
针对三维计算机断层扫描(CT)体数据的牙齿分割问题,本文提出了一种基于区域自适应形变模型的CT图像牙齿结构测量方法。本文方法结合了自动阈值分割、CV活动轮廓模型和图割方法,利用自动阈值分割实现牙冠的分割与定位,然后利用牙冠分割结果作为初始轮廓逐层分割牙齿。在分割难度最大的牙根上采用CV活动轮廓和图割互补的方法实现了牙根的准确分割。实验结果表明本文提出的牙齿结构测量方法能够准确地自动分割出牙齿的牙冠部分,进而在牙冠分割基础上快速准确地分割出牙颈和牙根。本文提出的牙齿结构测量方法能够准确地从临床CT牙齿数据中分割提取牙齿结构,鲁棒性强、精度高,可以有效辅助医生的临床治疗。
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.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2016年第2期308-314,共7页
Journal of Biomedical Engineering
基金
国家863计划资助项目(2013AA013703)
关键词
计算机断层成像
牙齿分割
形变模型
图割
computed tomography
tooth segmentation
deformable model
graph-cut
