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Tracking of Bone Reparation Process with Using of Periosteal Callus Extraction Based on Fuzzy C-means Algorithm

机译:基于模糊C型算法的骨膜愈伤组织提取跟踪骨恢复过程

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In the field of the clinical traumatology, bone reparation is one of the essential factors which are followed. Bone fractures are clinically evaluated on the base of the X-ray images providing relatively high contrast between bone and affected spot, on the other hand one important identifier of bone reparation (periosteal callus) is often badly observable from native data. Furthermore, periosteal callus is only clinically evaluated by naked eye without SW feedback providing supervised quantification. From the aforementioned reasons we established cooperation with Department of Traumatology on the automatic segmentation and modelling of a periosteal callus leading to tracking of bone reparation. We developed system serving for automatic extraction of a periosteal callus, consequently allowing for compute of callus area for time comparison in the form of the predictive model.
机译:在临床创伤学领域,骨赔偿是所遵循的基本因素之一。骨折是在X射线图像的基础上临床评估,在骨骼和受影响点之间提供相对高的对比度,另一方面,骨恢复(骨膜愈伤组织)的一个重要标识符通常可从本地数据差别观察。此外,骨膜炎愈伤组织仅在没有SW反馈的情况下通过裸眼临床评估,提供监督量化。从上述原因,我们与骨膜愈伤组织的自动分割和建模建立了与创伤学系的合作,从而跟踪骨骼赔偿。我们开发了用于自动提取骨膜愈伤组织的系统,因此允许以预测模型的形式计算呼叫区域的时间比较。

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