【摘要】 现有医学样本库缺乏不同年龄段脊椎的几何形态统计模型，因此建立一个精度较高、定位准确的椎体几何形态统计模型库就显得迫在眉睫。提出一种基于融合曲率特征的椎体三维几何统计模型构建方法，根据曲率特征对人体腰椎三维重建模型进行识别和定位，输出各模型的样本矩阵；用优化的ICP算法对样本矩阵进行对齐与配准；用PCA对样本模型进行配准训练，组成统计模型样本库。更多还原

【Abstract】 At present, the existing medical sample database lacks geometric statistical models of vertebrae of different ages. Therefore, it is essential to establish a geometric statistical model database of vertebrae with high precision and accurate positioning. This paper proposes a construction method of three-dimensional geometric statistical model of vertebrae based on fused curvature features. First, we identify and locate the three-dimensional reconstruction model of the human lumbar spine according to the curvature characteristics, and output the sample matrix of each model; then, we use the optimized ICP algorithm to align and register the sample matrix; finally, we apply PCA to perform registration training on the sample model, and form the sample database of statistical model in the end.更多还原