Development of a 3D model of tibia femoral bone is very important for diagnosis and treatment. Knee pain is most commonly observed problem in old age people and it is a very complex joint. Hence analysis of knee joint is very essential. Analysis can be done using 3D model and finite element model. Physical and mechanical properties of knee joint can be analyzed using Finite Element Analysis (FEA) technique. To develop 3D model segmentation process plays an important role which extracts the Region of Interest (ROI) or foreground from background image. This paper presents the graph cut method to segment tibia femoral bone from MRI/CT knee images. Also proposed algorithm illustrates the removal noise using median filter, graph cut method is used for segmenting tibia and femur bones. For volume rendering 3D model of a tibia femoral bone is created using segmented images. Finally finite element meshing is done on 3D model of tibia femoral bone to develop meshed model. This meshed model can be used for analysis and pre surgical planning of knee joint.

胫骨股骨3D模型的开发对于诊断和治疗非常重要。膝关节疼痛是老年人最常见的问题，它是一个非常复杂的关节。因此，分析膝关节非常重要。可以使用3D模型和有限元模型进行分析。可以使用有限元分析（FEA）技术分析膝关节的物理和机械性能。要开发3D模型，分割过程起着重要作用，它可以从背景图像中提取感兴趣区域（ROI）或前景。本文提出了一种从MRI / CT膝盖图像中分割胫骨股骨的图割方法。还提出了算法，说明了使用中值滤波器的去除噪声，图割法用于分割胫骨和股骨。为了进行体积渲染，使用分段图像创建了胫骨股骨的3D模型。最后，在胫骨股骨的3D模型上进行有限元网格划分，以开发网格模型。该网格化模型可用于膝关节的分析和手术前计划。