Vertebral morphological measurements are important across various
disciplines, including spinal biomechanics and clinical applications, pre- and
post-operatively. These measurements also play a crucial role in
anthropological longitudinal studies, where spinal metrics are repeatedly
documented over extended periods. Traditionally, such measurements have been
manually conducted, a process that is time-consuming. In this study, we
introduce a novel, fully automated method for measuring vertebral morphology
using 3D meshes of lumbar and thoracic spine models.Our experimental results
demonstrate the method's capability to accurately measure low-resolution
patient-specific vertebral meshes with mean absolute error (MAE) of 1.09 mm and
those derived from artificially created lumbar spines, where the average MAE
value was 0.7 mm. Our qualitative analysis indicates that measurements obtained
using our method on 3D spine models can be accurately reprojected back onto the
original medical images if these images are available.

介绍了一种基于三维脊柱模型的新型全自动测量脊椎形态的方法，实验结果表明该方法能够准确测量低分辨率患者特定的脊椎网格，平均绝对误差为 1.09 毫米，以及通过人工创建的腰椎脊柱，平均绝对误差值为 0.7 毫米，我们的定性分析表明，使用我们的方法在三维脊柱模型上获得的测量结果可以准确地重新投影到原始医学图像上，如果这些图像是可用的。