Moura Daniel C, Barbosa Jorge G
Instituto de Telecomunicações, Departamento de Engenharia Electrotécnica e de Computadores, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal.
Departamento de Engenharia Informática, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal; Laboratório de Intelegência Artificial e Ciência dos Computadores, Porto, Portugal.
Comput Med Imaging Graph. 2014 Oct;38(7):580-5. doi: 10.1016/j.compmedimag.2014.05.007. Epub 2014 May 24.
This paper presents a new method for modelling the spines of subjects and making accurate 3D measurements using standard radiologic systems without requiring calibration objects. The method makes use of the focal distance and statistical models for estimating the geometrical parameters of the system. A dataset of 32 subjects was used to assess this method. The results show small errors for the main clinical indices, such as an RMS error of 0.49° for the Cobb angle, 0.50° for kyphosis, 0.38° for lordosis, and 2.62mm for the spinal length. This method is the first to achieve this level of accuracy without requiring the use of calibration objects when acquiring radiographs. We conclude that the proposed method allows for the evaluation of scoliosis with a much simpler setup than currently available methods.
本文提出了一种新方法，用于对受试者的脊柱进行建模，并使用标准放射系统进行精确的三维测量，而无需校准物体。该方法利用焦距和统计模型来估计系统的几何参数。使用了一个包含32名受试者的数据集来评估此方法。结果表明，主要临床指标的误差较小，例如，Cobb角的均方根误差为0.49°，后凸畸形为0.50°，前凸畸形为0.38°，脊柱长度为2.62mm。该方法是首次在获取X光片时无需使用校准物体即可达到这一精度水平。我们得出结论，所提出的方法允许以比现有方法简单得多的设置来评估脊柱侧弯。
