Schulze Ralf, Bruellmann Dan Dominik, Roeder Felix, d'Hoedt Bernd
Department of Oral Surgery (and Oral Radiology), Johannes Gutenberg-University, Dental School, Augustusplatz 2, Mainz, 55131 Germany.
Med Phys. 2004 Oct;31(10):2849-54. doi: 10.1118/1.1796951.
A method is introduced, inferring the three-dimensional (3-D) location from the 2-D radiographic shadow of an opaque spherical reference body of known radius by considering its elliptical distortion, the 2-D shadow location and a known source-to-receptor distance. Three noncollinear spheres fixed to a rigid object constitute all possible degrees of freedom, i.e., the entire 3-D imaging geometry. The method may be used (a) to determine the 3-D imaging geometry from a single 2-D view and (b) to correct for foreshortening of object distances coplanar with the plane defined by the sphere triplet. Apart from the mathematical background the article describes a small feasibility experiment, performed with four different sphere diameters and a commercial dental ccd-receptor system (pixel length: 0.0195 mm). The mouse-cursor based image evaluation revealed an average underestimation of the critical depth- (x-) coordinate decreasing with increasing radius (-30.3% for r=0.5 mm to 2.8% for r=2.5 mm). Intraobserver reliability (the standard deviation between three single cursor-based assessments) ranged between 0% and 8% of the actual true depth. The main source of the input error is associated with the assessment of the amount of elliptical distortion, where subpixel accuracy is demanded. Consequently, software-based automated image evaluation is required using available methods for pattern recognition and point-spread correction. Provided sufficient accuracy, the method provides an important tool for foreshortening correction, depth assessment, motion analysis, and 3-D reconstruction from two or more 2-D views.
本文介绍了一种方法,通过考虑不透明球形参考体的椭圆畸变、二维阴影位置和已知的源到接收器距离,从已知半径的不透明球形参考体的二维射线照相阴影推断三维(3-D)位置。固定在刚性物体上的三个非共线球体构成了所有可能的自由度,即整个三维成像几何结构。该方法可用于(a)从单个二维视图确定三维成像几何结构,以及(b)校正与由球体三联体定义的平面共面的物体距离的缩短。除了数学背景外,本文还描述了一个小型可行性实验,该实验使用了四种不同的球体直径和一个商用牙科ccd接收器系统(像素长度:0.0195毫米)。基于鼠标指针的图像评估显示,随着半径增加,临界深度(x)坐标的平均低估程度降低(半径为0.5毫米时为-30.3%,半径为2.5毫米时为2.8%)。观察者内可靠性(基于三个单指针评估之间的标准偏差)在实际真实深度的0%至8%之间。输入误差的主要来源与椭圆畸变量的评估有关,这需要亚像素精度。因此,需要使用可用的模式识别和点扩展校正方法进行基于软件的自动图像评估。如果提供足够的精度,该方法为缩短校正、深度评估、运动分析以及从两个或多个二维视图进行三维重建提供了一个重要工具。