数字口腔可视化技术及系统开发

发布时间：2018-05-05 05:18

本文选题：口腔数字化 + 可视化　；参考：《浙江大学》2017年硕士论文

【摘要】：随着三维扫描和锥体束CT等数据采集方式的普及,口腔领域的数字化得到了飞速发展。口腔领域数据的可视化不仅仅局限于向医生展示三维数据,而且在通过三维处理和分析技术后,为医生提供更为准确的患者三维空间信息,从而辅助医生进行治疗模拟、预测和评估。因此,口腔领域的数据可视化正逐渐成为可视化技术的研究热点。本文介绍了三维处理和可视化若干技术在口腔数字化领域的相关应用。在口腔三维模型处理方面,本文介绍了碰撞检测、特征提取和分割、点云配准等在口腔领域中的应用。由于咬合干扰是口腔医生非常关注的问题,本文介绍了基于Kd-Tree查找最近点对的碰撞检测算法,并展示出患者上下牙颌模型之间的咬合接触情况;在牙齿分割的领域,我们在前人基础上提出了基于新的曲率特征提取和区域增长的自动牙齿分割算法,提高了牙齿分割的速度和精度;最后,我们将点云重建中基于近似一致点集的配准方法应用于口腔患者治疗前后的匹配和比对,将患者治疗前后的模型进行配准并计算偏差,帮助医生评估治疗的结果。在CBCT体数据的可视化方面,本文介绍了体数据和几何数据的混合绘制方法,并将此应用于口腔外科种植术中的种植钉定位和模拟放置领域。本方法可以向医生更为直观的展示种植体与患者牙槽骨的相对位置状况,辅助医生进行种植体的放置。
[Abstract]:With the popularization of three-dimensional scanning and cone-beam CT, the digitalization of oral cavity has been developed rapidly. The visualization of oral data is not only limited to displaying 3D data to doctors, but also provides doctors with more accurate three-dimensional information of patients after 3D processing and analysis, which can help doctors to carry out treatment simulation. Prediction and evaluation Therefore, data visualization in the field of stomatology is becoming a hotspot in visualization technology. This paper introduces the application of three-dimensional processing and visualization technology in the field of oral cavity digitization. The applications of collision detection, feature extraction and segmentation, point cloud registration in the field of oral cavity are introduced in this paper. Because occlusal interference is a problem that dentists pay close attention to, this paper introduces a collision detection algorithm based on Kd-Tree to find the nearest point pair, and shows the occlusal contact between the upper and lower jaw models of patients, and in the field of tooth segmentation, On the basis of our predecessors, we propose an automatic tooth segmentation algorithm based on new curvature feature extraction and region growth, which improves the speed and accuracy of tooth segmentation. The registration method based on approximate consistent point set in point cloud reconstruction is applied to the matching and comparison of oral patients before and after treatment. The model of patients before and after treatment is registered and the deviation is calculated to help doctors evaluate the results of treatment. In the aspect of visualization of CBCT volume data, this paper introduces the hybrid rendering method of volume data and geometric data, and applies this method to the field of implant nail location and simulated placement in dental surgery. The method can show the relative position of implant and alveolar bone more intuitively to doctors and assist doctors in implant placement.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R78;TP391.41

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