OrthoCAD Network Research Centre, Department of Mechanical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Comput Med Imaging Graph. 2010 Jun;34(4):277-88. doi: 10.1016/j.compmedimag.2009.11.003. Epub 2009 Dec 5.
Accurate, simple, and quick measurement of anatomical deformities at preoperative stage is clinically important for decision making in surgery planning. The deformities include excessive torsional, angular, and curvature deformation. This paper presents computer-aided methods for automatically measuring anatomical deformities of long bones of the lower limb. A three-dimensional bone model reconstructed from CT scan data of the patient is used as input. Anatomical landmarks on femur and tibia bone models are automatically identified using geometric algorithms. Medial axes of femur and tibia bones, and anatomical landmarks are used to generate functional and reference axes. These methods have been implemented in a software program and tested on a set of CT scan data. Overall, the performance of the computerized methodology was better or similar to the manual method and its results were reproducible.
在术前阶段准确、简单、快速地测量解剖畸形对手术规划决策具有重要的临床意义。这些畸形包括过度扭转、角度和曲率变形。本文提出了一种用于自动测量下肢长骨解剖畸形的计算机辅助方法。以患者 CT 扫描数据重建的三维骨骼模型作为输入。使用几何算法自动识别股骨和胫骨骨骼模型上的解剖标志点。使用股骨和胫骨的中轴线以及解剖标志点来生成功能轴和参考轴。这些方法已在一个软件程序中实现,并在一组 CT 扫描数据上进行了测试。总的来说,计算机方法的性能优于或类似于手动方法,其结果具有可重复性。