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Boolean Combinations of Implicit Functions for Model Clipping in Computer-Assisted Surgical Planning

机译:隐式函数的布尔组合,用于计算机辅助手术计划中的模型裁剪

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摘要

This paper proposes an interactive method of model clipping for computer-assisted surgical planning. The model is separated by a data filter that is defined by the implicit function of the clipping path. Being interactive to surgeons, the clipping path that is composed of the plane widgets can be manually repositioned along the desirable presurgical path, which means that surgeons can produce any accurate shape of the clipped model. The implicit function is acquired through a recursive algorithm based on the Boolean combinations (including Boolean union and Boolean intersection) of a series of plane widgets’ implicit functions. The algorithm is evaluated as highly efficient because the best time performance of the algorithm is linear, which applies to most of the cases in the computer-assisted surgical planning. Based on the above stated algorithm, a user-friendly module named SmartModelClip is developed on the basis of Slicer platform and VTK. A number of arbitrary clipping paths have been tested. Experimental results of presurgical planning for three types of Le Fort fractures and for tumor removal demonstrate the high reliability and efficiency of our recursive algorithm and robustness of the module.
机译:本文提出了一种用于计算机辅助手术计划的交互式模型裁剪方法。该模型由数据过滤器分隔,该数据过滤器由剪切路径的隐式函数定义。与外科医生互动时,由平面窗口小部件组成的剪切路径可以沿着所需的术前路径手动重新定位,这意味着外科医生可以产生任何精确形状的剪切模型。隐式函数是通过递归算法获取的,该算法基于一系列平面控件的隐式函数的布尔组合(包括布尔联合和布尔交集)。该算法被认为是高效的,因为该算法的最佳时间性能是线性的,这适用于计算机辅助手术计划中的大多数情况。基于上述算法,在Slicer平台和VTK的基础上开发了一个名为SmartModelClip的用户友好模块。已经测试了许多任意剪切路径。三种类型的Le Fort骨折和肿瘤切除术的术前计划的实验结果证明了我们递归算法的高可靠性和效率以及模块的鲁棒性。

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