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Automatic Fracture Reduction

机译:自动减少骨折

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摘要

We present a method to automatically reposition the fragments of a broken bone based on surface meshes segmented from CT scans. The result of this virtual fracture reduction is intended to be used as an operation plan for a medical procedure. Particularly in minimally invasive surgery like intramedullary nailing, the correct repositioning of bone fragments is not always apparent or visible without an operation plan. We propose to achieve automatic fracture reduction by fitting the bone fragments to an intact reference bone mesh with a modified Iterative Closest Point (ICP) algorithm. A suitable reference could be the same patient's contra-lateral bone. In the absence of a CT scan of this bone, we propose to use a statistical shape model as a reference. The shape model is automatically adapted to match the anatomy of the broken bone, apart from the bone's length, which has to be correctly initialized. Our experiments show that we can limit the rotational alignment error to below 5 degrees, compared to 15 degrees in current medical practice.
机译:我们提出了一种基于CT扫描分割的表面网格自动重新定位骨折骨头的碎片的方法。该虚拟骨折减少的结果旨在用作医疗程序的操作计划。特别是在诸如髓内钉之类的微创手术中,没有手术计划,骨碎片的正确重新定位并不总是显而易见或可见的。我们建议通过使用改进的迭代最近点(ICP)算法将骨骼碎片拟合到完整的参考骨骼网格中来实现骨折的自动复位。合适的参考可以是同一位患者的对侧骨骼。在没有此骨头的CT扫描的情况下,我们建议使用统计形状模型作为参考。除了必须正确初始化的骨骼长度以外,形状模型会自动适应于匹配骨折骨骼的解剖结构。我们的实验表明,与目前的医学实践中的15度相比,我们可以将旋转对准误差限制在5度以下。

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