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3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density

机译:从具有不同面顶点密度的弯折网格模型进行3D Cobb角度测量

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To evaluate spinal deformities, the Cobb angle is the main diagnostic parameter that is usually measured on two-dimensional coronal radiographic (X-ray) images. In this paper, we propose a method for the evaluation of the three-dimensional (3D) Cobb angle from 3D spine mesh models with varying face-vertex density. For the upper-end and lower-end vertebra mesh models, the location of the vertebral body center and mesh faces that belong to the vertebral body surface are identified by unsupervised classification of mesh faces of the vertebral body, which serve only as training data, and subsequent supervised classification of all mesh faces. Adjacent mesh faces are then labeled with the same class, and after comparison to mesh faces in the training data, we label the mesh faces of the superior and inferior vertebral endplate. Finally, planes are fitted to the superior endplate of the upper-end vertebra and the inferior endplate of the lower-end vertebra, which define the 3D Cobb angle. The method was tested on 60 triangular mesh models of the scoliotic spine, and each mesh model was generated at 17 different face-vertex densities. For meshes with the mean face edge length below 6 mm, the proposed method was accurate, with the mean absolute error of 3.0° and the corresponding standard deviation of 2.2° when compared to reference measurements.
机译:为了评估脊柱畸形,通常在二维冠状射线X射线(X射线)图像上测量的主要诊断参数是Cobb角。在本文中,我们提出了一种从具有不同面顶点密度的3D脊柱网格模型评估三维(3D)Cobb角的方法。对于上端和下端椎体网格模型,通过无监督的椎体网格面分类来识别椎体中心和属于椎体表面的网格面的位置,这些分类仅用作训练数据,以及随后对所有网格面的监督分类。然后用相同的类别标记相邻的网格面,并且在与训练数据中的网格面进行比较之后,我们标记上,下椎骨终板的网格面。最后,将平面装配到定义3D Cobb角的上端椎骨的上端板和下端椎骨的下端板。该方法在脊柱侧凸的60个三角形网格模型上进行了测试,每个网格模型均以17种不同的面顶点密度生成。对于平均脸部边缘长度小于6 mm的网格,建议的方法是准确的,与参考测量值相比,平均绝对误差为3.0°,相应的标准偏差为2.2°。

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