计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 270-273.doi: 10.11896/j.issn.1002-137X.2017.06.047

• 图形图像与模式识别 • 上一篇    下一篇

基于模板的骨骼参数自动测量方法

王淋,何坤金,陈正鸣   

  1. 河海大学物联网工程学院 常州213022,河海大学物联网工程学院 常州213022;常州市图形图像与骨科植入物数字化技术重点实验室 常州213022,河海大学物联网工程学院 常州213022;常州市图形图像与骨科植入物数字化技术重点实验室 常州213022
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受江苏省科技支撑计划(BE2014048),江苏省自然科学基金(BK20141158),江苏省普通高校研究生科研创新计划项目(KYZZ15_0152)资助

Template-based Method for Auto-measuring Bone Parameters

WANG Lin, HE Kun-jin and CHEN Zheng-ming   

  • Online:2018-11-13 Published:2018-11-13

摘要: 为快速测量骨骼形态参数,提出基于模板的自动测量方法。首先通过在骨骼模型上构建参考实体、设置层次化语义参数,生成测量模板;然后先对待测量骨骼向测量模板做刚体配准,再对测量模板向待测量骨骼做非刚体配准;最后将变形后的测量模板作为待测量骨骼的替代模型,同时根据测量模板上标定的特征点实现骨骼参数的自动计算。以股骨为例,实验结果表明,利用基于模板的测量方法可以快速测量出股骨的一整套形态参数,且测量结果与现有软件测量结果基本一致;部分骨骼参数具有较强相关性,且大多数参数分布形态基本对称,接近正态分布。这为后期对股骨形态参数作进一步分析以及接骨板的参数设计提了供科学的理论依据。

关键词: 骨骼,语义参数,测量模板,点云配准

Abstract: To quickly measure bone parameters,a method for auto-measuring bone parameters was put forward.First of all,a parametric measurement template is generated by building a reference entity and setting hierarchical semantic parameters.Second,a target bone model is matched to the template by rigid transformation.Then,the template is matched to the target bone by non-rigid transformation.Finally,the deformed template is used as a substitution of the target bone.Thereafter,bone parameters are automatically calculated based on feature points defined on the template.Taking the femur as an example,experimental results show that a whole set of anatomical parameters of femur are measured quickly and the results are nearly equal to that measured with recent software.It is also found that the measured femur parameters are strongly correlated.Meanwhile,a part of parameters are strongly correlated,and distributions of most parameters are generally symmetrical,which indicates that they are close to normal distributions.This provides scientific basses for statistical analyses of femoral parameters and parametric design of orthopedic implants in late.

Key words: Bone,Semantic parameters,Measurement template,Point cloud registration

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