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Mesh processing for morphological and clinical parameters computation in dog femur

机译:狗股骨形态学和临床参数的网格处理

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Currently available methods for evaluating dog femur deformities are principally based on 2D image analysis of radiographies. By CT or MRI, 3D information can be derived from points clouds or meshes. This work proposes an original approach for morphological and clinical parameters assessment on meshes. The method is validated on dog femur meshes measured by two 3D scanners with different resolutions. The results show that the 3D proposed approach overcomes several limits of the methods based on 2D image analysis.
机译:目前用于评估狗股骨畸形的可用方法主要基于射线摄影的2D图像分析。通过CT或MRI,可以从点云或网格派生3D信息。这项工作提出了一种原始方法,用于对网眼的形态学和临床参数评估。该方法在由两个具有不同分辨率的三维扫描仪测量的狗股骨网上验证。结果表明,基于2D图像分析,3D提出的方法克服了几个方法的几个限制。

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