Abstract: Since the type and size of spinal fusion device design are affected by the vertebrae area and parameters,to manufacture personalized spinal fusion devices,a segmentation template containing semantic parameter information was constructed to segment the vertebrae from coarse to fine and measure the semantic parameters.Based on the generated geometrically averaged skeleton,morphology was introduced to segment it and obtain the skeleton line ratio,and a segmentation template was constructed.The semantic feature points were marked and semantic parameters were calculated to generate a segmentation template containing semantic parameter information.Then,based on the segmentation template,the skeleton line and geodesic ring were used to achieve regional segmentation of the target bone by combining with the overall shape and outer surface of the spine,which provided guidance for the selection of the type of spinal fusion device.Finally,the template and the target bone were registered and mapped to achieve automatic measurement of the semantic parameters of the target bone and assist in determining the size of the spinal fusion device.Experiments were conducted with different vertebrae to verify the rationality and effectiveness of the method,laying a theoretical foundation for the design and manufacture of spinal fusion devices.

Key words: template, morphology, segmentation, semantic parameters, spinal fusion

摘要： 由于脊柱融合器设计的类型与尺寸受到椎骨区域及参数的影响,为制造个性化脊柱融合器,提出构建含有语义参数信息的分割模板,对脊椎骨进行由粗到细的分割和语义参数测量。首先基于生成的几何平均化骨骼,引入形态学,对其进行分割并获取骨架线比例,构建分割模板;其次,标注语义特征点,计算语义参数,生成含有语义参数信息的分割模板;然后,基于分割模板,利用骨架线与测地环,结合脊椎整体形态与外表面,实现对目标骨骼的区域分割,为脊柱融合器类型的选择提供指导;最后将模板与目标骨骼进行配准、映射,实现目标骨骼语义参数的自动测量,辅助确定脊柱融合器尺寸。以不同脊椎骨进行实验,验证了方法的合理性与有效性,为脊柱融合器的设计与制造奠定了理论基础。

关键词: 模板, 形态学, 分割, 语义参数, 脊柱融合器