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首页> 外文期刊>Multimedia Tools and Applications >Three dimensional modelling of MRI knee images using improved edge detection and finite element modelling
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Three dimensional modelling of MRI knee images using improved edge detection and finite element modelling

机译：利用边缘检测和有限元建模的MRI膝关节图像的三维模型

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摘要

The knee is one of the complex joints in the human body. Manual Material Handling (MMH), especially lifting, poses a risk to humans and this is considered as the preliminary reason for back pain and other impairments in a knee. Hence, it is very necessary to find the positions of knee cartilage of a person. This is usually done by modelling a three dimensional (3D) model of a patient from a Magnetic Resonant Images (MRIs). This modelling is used for determining the patterns of stress and strain distribution from various body postures. However, the modelling accuracy is not favorable in executing the required 3D patterns for finding the actual patterns of knee position. In this paper, an improved 3D model is developed for evaluating the positions of knee cartilages. The source images are captured from MRI by scanning the knee portions of a human to render a 3D knee pattern. This method works on two different stages, initially, the method uses edge-based detection and the second stage gets the edges as its input to acquire to 3D models. The second stage uses a finite element model to analyze the stresses associated with the Knee-joint and careful design is made using the proposed model to analyze the knee cartilage. The proposed model attains a good temporal agreement between the rendered 3D results and the predicted muscle force based on the magnitude of the obtained models. The proposed 3D modelling is evaluated in terms of contact mechanics factors like contact pressure, contact area and contact stress are simulated synchronously. It is found that the maximum contact pressure exists on the medial tibial insert. Finally, it is concluded from the results that the automated segmentation method to render the 3D patterns from MR images is accurate and quick in determining the geometries of knee cartilages.
机译：膝盖是人体中的复杂关节之一。手动材料处理（MMH），尤其是提升，对人类带来风险，这被认为是膝关节中背痛和其他损伤的初步原因。因此，找到一个人的膝关节软骨的位置是非常必要的。这通常通过从磁共振图像（MRIS）建立患者的三维（3D）模型来完成。该建模用于确定各种体姿势的应力和应变分布的模式。然而，建模精度在执行所需的3D模式时不利，以寻找膝关节位置的实际模式。在本文中，开发了一种改进的3D模型，用于评估膝关节软骨的位置。通过扫描人的膝盖部分来捕获源图像以渲染3D膝关节图案。该方法适用于两个不同的阶段，最初，该方法使用基于边缘的检测，第二级获取边缘作为获取3D模型的输入。第二阶段使用有限元模型来分析与膝关节相关的应力，并使用所提出的模型进行仔细设计来分析膝关节软骨。所提出的模型基于所获得的模型的大小，呈现给渲染的3D结果和预测的肌肉力之间的良好时间达。根据接触压力，接触面积和接触应力的接触力学因子评估所提出的3D建模。发现内侧胫骨插入件上存在最大接触压力。最后，从结果结束的结果是，自动分割方法使来自MR图像的3D模式的3D模式是准确的，并且在确定膝关节软骨的几何时迅速。

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