Abstract Human knee is one of the most complex joints. Different reasons may lead to knee instability. A personalized mathematical model of the knee may improve both diagnostic procedure and knee surgery outcomes. Such models require accurate geometric representation of bones and attachment sites of ligaments and tendons. This paper addresses automatic segmentation of knee bones and detection of origins and insertions for tendons and ligaments. The approach is based on anatomical features of bones and landmarks of tendons/ligaments attachments on the CT images. It provides a tool for the design of patient-specific geometrical knee models.

中文翻译：

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人体膝盖的自动分割算法和个性化几何建模

摘要 人体膝关节是最复杂的关节之一。不同的原因可能导致膝关节不稳定。膝关节的个性化数学模型可以改善诊断程序和膝关节手术结果。此类模型需要骨骼和韧带和肌腱的附着部位的准确几何表示。本文讨论了膝关节骨骼的自动分割以及肌腱和韧带起源和插入点的检测。该方法基于骨骼的解剖特征和 CT 图像上肌腱/韧带附件的标志。它为设计特定患者的几何膝关节模型提供了一种工具。