Comminuted fractures are orthopedic traumas with greater surgical difficulty. In clinical treatment, a great challenge is precise reduction of multiple broken bone fragments; Another great challenge is personalized and precise internal fixation after reduction. For these two issues, we designed an automated method framework for precise reduction and internal fixation of comminuted fractures. First, the Gaussian mixture model (GMM) is used to distinguish section points and noise points in a broken bone model; Second, ellipse fitting is carried out to achieve section points matching and a descriptor is proposed to describe the section features; Then, the Convolution Auto-Encoder (CAE) and genetic algorithm are used to extract feature vectors; Finally, after broken bone models registration, internal fixed plate can be reconstructed. Three verification experiments for comminuted bone fracture show this method has high accuracy and good efficiency. It can provide support for minimally invasive treatment for comminuted fractures.

中文翻译：

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基于新型断面轮廓点描述符的3D骨碎片自动还原方法

粉碎性骨折属于骨科创伤，手术难度较大。临床治疗中，一个巨大的挑战是多处骨折碎片的精确复位；另一个巨大的挑战是复位后的个性化、精准内固定。针对这两个问题，我们设计了粉碎性骨折精准复位内固定的自动化方法框架。首先，利用高斯混合模型（GMM）区分断骨模型中的断面点和噪声点；其次，进行椭圆拟合实现截面点匹配，并提出描述子来描述截面特征；然后，利用卷积自动编码器（CAE）和遗传算法提取特征向量；最后，在断骨模型配准后，即可重建内部固定板。3次粉碎性骨折验证实验表明该方法准确度高、效率好。可为粉碎性骨折的微创治疗提供支持。