首页> 外文会议>Scandinavian Conference on Image Analysis(SCIA 2007); 20070610-14; Aalborg(DK) >A Novel Parameter Decomposition Approach for Recovering Poses of Distal Locking Holes from Single Calibrated Fluoroscopic Image
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A Novel Parameter Decomposition Approach for Recovering Poses of Distal Locking Holes from Single Calibrated Fluoroscopic Image

机译:一种新的参数分解方法,用于从单个校准的荧光图像中恢复远端锁定孔的位置

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One of the most difficult steps of intramedullary nailing of femoral shaft fractures is distal locking - the insertion of distal transverse interlocking screws, for which it is necessary to know the position and orientation of the distal locking holes of the intramedullary nail. This paper presents a novel parameter decomposition 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 on the imaging plane, and (b) the translation and 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 a one-dimensional search along a finite interval. We report the in — vitro experimental results, 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,有必要了解髓内钉远端锁定孔的位置和方向。本文提出了一种新颖的参数分解方法,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上的投影之间的角度,以及(b)平移远端锁定孔的几何模型围绕钉子轴线的旋转和旋转。通过使用混合优化技术,结合进化策略和局部搜索算法,为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。我们报告了体外实验结果,这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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