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用于双荧光透视成像系统的严格几何自校准束调整。

Rigorous geometric self-calibrating bundle adjustment for a dual fluoroscopic imaging system.

出版信息

IEEE Trans Med Imaging. 2015 Feb;34(2):589-98. doi: 10.1109/TMI.2014.2362993. Epub 2014 Oct 14.

Abstract

High-speed dual fluoroscopy is a noninvasive imaging technology for three-dimensional skeletal kinematics analysis that finds numerous biomechanical applications. Accurate reconstruction of bone translations and rotations from dual-fluoroscopic data requires accurate calibration of the imaging geometry and the many imaging distortions that corrupt the data. Direct linear transformation methods are commonly applied for performing calibration using a two-step process that suffers from a number of potential shortcomings including that each X-ray source and corresponding camera must be calibrated separately. Consequently, the true imaging set-up and the constraints it presents are not incorporated during calibration. A method to overcome such drawbacks is the single-step self-calibrating bundle adjustment method. This procedure, based on the collinearity principle augmented with imaging distortion models and geometric constraints, has been developed and is reported herein. Its efficacy is shown with a carefully controlled experiment comprising 300 image pairs with 48 507 image points. Application of all geometric constraints and a 31 parameter distortion model resulted in up to 91% improvement in terms of precision (model fit) and up to 71% improvement in terms of 3-D point reconstruction accuracy (0.3-0.4 mm). The accuracy of distance reconstruction was improved from 0.3±2.0 mm to 0.2 ±1.1 mm and angle reconstruction accuracy was improved from -0.03±0.55(°) to 0.01±0.06(°). Such positioning accuracy will allow for the accurate quantification of in vivo arthrokinematics crucial for skeletal biomechanics investigations.

摘要

高速双荧光透视是一种用于三维骨骼运动学分析的非侵入性成像技术,在众多生物力学应用中都有发现。要从双荧光透视数据中准确重建骨骼的平移和旋转,需要准确校准成像几何形状和许多会损坏数据的成像失真。直接线性变换方法常用于执行校准,采用两步过程,但存在许多潜在缺点,包括每个 X 射线源和相应的相机都必须单独校准。因此,在校准过程中没有纳入真实的成像设置及其带来的约束。一种克服这些缺点的方法是单步自校准束调整方法。该程序基于共线原理,同时增加了成像失真模型和几何约束,已被开发出来并在此报告。通过一个精心控制的实验,包括 300 对图像和 48507 个图像点,证明了其有效性。应用所有几何约束和 31 个参数失真模型,在精度(模型拟合)方面提高了 91%,在三维点重建精度(0.3-0.4 毫米)方面提高了 71%。距离重建的准确性从 0.3±2.0 毫米提高到 0.2±1.1 毫米,角度重建准确性从 -0.03±0.55(°)提高到 0.01±0.06(°)。这种定位精度将允许对骨骼生物力学研究至关重要的体内关节运动学进行准确量化。

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