Department of Oral Surgery, University of Medical Center, Johames Gutenberg-University, Mainz, Germany.
Dentomaxillofac Radiol. 2010 Jan;39(1):33-41. doi: 10.1259/dmfr/12523158.
The aim was to develop an analytical algorithm capable of determining localization and orientation of a cylindrical (dental) implant in three-dimensional (3D) space from a single radiographic projection.
An algorithm based on analytical geometry is introduced, exploiting the geometrical information inherent in the 2D radiographic shadow of an opaque cylindrical implant (RCC) and recovering the 3D co-ordinates of the RCC's main axis within a 3D Cartesian co-ordinate system. Prerequisites for the method are a known source-to-receptor distance at a known locus within the flat image receptor.
Accuracy, assessed from a small feasibility experiment in atypical dental radiographic geometry, revealed mean absolute errors for the critical depth co-ordinate ranging between 0.5 mm and 5.39 mm. This translates to a relative depth error ranging from 0.19% to 2.12%.
Experimental results indicate that the method introduced is capable of providing geometrical information important for a variety of applications. Accuracy has to be enhanced by means of automated image analysis and processing methods.
旨在开发一种分析算法,能够从单个射线投影中确定圆柱形(牙科)植入物在三维(3D)空间中的位置和方向。
引入了一种基于解析几何的算法,利用不透明圆柱形植入物(RCC)的 2D 射线照相阴影中固有的几何信息,并在 3D 笛卡尔坐标系中恢复 RCC 主轴的 3D 坐标。该方法的前提条件是在平板图像接收器中的已知位置处具有已知的源到接收器距离。
从小型典型牙科射线照相几何中的可行性实验评估的准确性表明,关键深度坐标的平均绝对误差在 0.5 毫米到 5.39 毫米之间。这相当于相对深度误差在 0.19%到 2.12%之间。
实验结果表明,所引入的方法能够提供对各种应用很重要的几何信息。通过自动化图像分析和处理方法可以提高准确性。