面向骨骼受损类型判别的体素模板构建

Voxel template construction for skeletal damage type discrimination

针对骨骼受损类型判断较为困难的问题,提出一种面向骨骼受损类型判别的体素模板构建方法,旨在指导医生进行快速判断。首先,在骨骼平均化点云模型的基础上构建最小包围盒,根据空间分辨率对包围盒进行划分,遍历判断后生成体素骨骼模板;然后,建立受损类型与体素模板之间的对应信息,生成受损类型库;最后,将目标骨骼映射到模板上,根据映射后模板上的受损体素区域指导医生判断出受损类型。实验结果表明,该方法能辅助医生直观、快速地判断目标骨骼受损类型,有利于后期面向目标骨骼进行自动判别研究。

This paper developed a method about voxel template construction for guiding the doctor to determine the type of damaged bone quickly,which could solve the problem that damaged bone had difficult in judging.Firstly,this method constructed the minimum bounding box based on the skeleton averaging point cloud model,and divided the box according the spatial resolution.Therefore it could generate the voxel template after traversing and judging the bounding box.Then,establishing the corresponding information between the damaged type and the voxel template,it generated a damaged type library.Finally,it mapped the target bone to the template,and the doctor could judge according to the damaged voxel area on the template to determine the type of damage.The experimental results show that the method can assist the doctor to directly and quickly determine the type of target bone damage,which is beneficial to the automatic discrimination research of the target bone in the later stage.