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首页> 外文期刊>Pattern recognition letters >A novel parameter decomposition based optimization approach for automatic pose estimation of distal locking holes from single calibrated fluoroscopic image
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A novel parameter decomposition based optimization approach for automatic pose estimation of distal locking holes from single calibrated fluoroscopic image

机译：一种基于参数分解的新型优化方法，可从单幅荧光透视图像自动估计远端锁定孔

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摘要

One of the most difficult steps in intramedullary nailing of femoral shaft fractures is distal locking - the insertion of distal transverse interlocking screws, for which it is necessary to know the positions and the orientations of the distal locking holes of the intramedullary nail (IMN). This paper presents a novel parameter decomposition based optimization approach for solving this problem using single calibrated X-ray image. The problem is formulated as a model-based optimal fitting process, where the to-be-optimized parameters are decomposed into two sets: (a) the angle between the nail axis and its projection in the imaging plane, and (b) the translation and the rotation of the geometrical models of the distal locking holes around the nail axis. By using a hybrid optimization technique coupling an evolutionary strategy and a local search algorithm to find the optimal values of the latter set of parameters for any given value of the former one, we reduce the multiple-dimensional model-based optimal fitting problem to an one-dimensional search along a finite interval. We report the results of our comprehensive experiments, which demonstrate that the accuracy of our approach is adequate for successful distal locking of intramedullary nails.
机译：股骨干骨折的髓内钉固定中最困难的步骤之一是远端锁定-远端横向互锁螺钉的插入，为此，有必要了解髓内钉（IMN）远端锁定孔的位置和方向。本文提出了一种新颖的基于参数分解的优化方法，用于使用单校准X射线图像解决此问题。该问题被公式化为基于模型的最佳拟合过程，其中将要优化的参数分解为两组：（a）指甲轴与其在成像平面中的投影之间的角度，以及（b）平移远端锁定孔的几何模型围绕指甲轴的旋转。通过使用混合优化技术，结合进化策略和局部搜索算法，针对前一组给定值找到后一组参数的最优值，我们将基于多维模型的最优拟合问题简化为一个沿有限间隔进行三维搜索。我们报告了综合实验的结果，这些结果表明，我们的方法的准确性足以成功完成髓内钉的远端锁定。

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