Computer Science ›› 2017, Vol. 44 ›› Issue (6): 270-273.doi: 10.11896/j.issn.1002-137X.2017.06.047

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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

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

[1] JIN A M,WANG H Q.Orthopedic clinical anatomy[M].Ji’nan:Shandong Science and Technology Press,2010.(in Chinese) 靳安民,汪华桥.骨科临床解剖学[M].济南:山东科学技术出版社,2010.
[2] NATTAPON C,KRISKRAI S,BANCHONG M,et al.3D geometrical assessment of femoral curvature:a reverse engineering technique[J].Journal of the Medical Association of Thailand=Chotmaihet thangphaet,2008,1(9):1377-1381.
[3] DONG X,ZHENG G.Fully Automatic Determination of Morp-hological Parameters of Proximal Femur from Calibrated Fluoros-copic Images Through Particle Filtering[C]∥Image Analysis & Recognition,Third International Conference,Iciar,Póvoa De Varzim,Portugal,September.2006:535-546.
[4] LV L W,MENG G W,GONG H,et al.A new method for the measurement and analysis of three-dimensional morphological parameters of proximal Male femur[J].Biomedical Research,2012,3(2):219-226.
[5] SONG W,OU Z,ZHAO D,et al.Computer-aided Modeling and Morphological Analysis of Hip Joint[C]∥The First International Conference on Bioinformatics and Biomedical Enginee-ring.2007:1218-1221.
[6] PARK B K,BAE J H,KO B Y,et al.Function-based morphing methodology for parameterizing patient-specific models of human proximal femurs[J].Computer-Aided Design,2014,1(7):31-38.
[7] VITKOVIC N,VESELINOVIC M,MISIC D,et al.Geometrical models of human bones and implants,and their usage in application for preoperative planning in orthopedics[J].Journal of Production Engineering,2012,5(2):87-90.
[8] HE K,CHEN Z,JIANG J,et al.Creation of user-defined freeform feature from surface models based on characteristic curves[J].Computers in Industry,2014,5(4):598-609.
[9] NYIRENDA P J ,BRONSVOORT W F.Numeric and curve pa-rameters for freeform surface feature models[J].Computer-Aided Design,2008,0:839-851.
[10] LI S F,WANG P,SHEN Z K.A survery of iterative closest point algorithm[J].Single Processing,2009,5(10):1582-1588.(in Chinese) 李世飞,王平,沈振康.迭代最近点算法研究进展[J].信号处理,2009,5(10):1582-1588.
[11] MYRONENKO A,SONG X B.Point-set registration:coherent point drift[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,2(12):2262-2275.
[12] SORKINE O,COHEN-OR D,LIPMAN Y,et al.Laplacian surface editing[C]∥Proceedings of the 2004 Euro Graphics/ACM SIGGRAPH Symposium on Geometry Processing.New York:ACM Press,2004:175-184
[13] 李春林,陈旭红.应用多元统计分析[M].北京:清华大学出版社,2013.
[14] 裴国献,张元智.数字骨科学[M].北京:人民卫生出版社,2009.

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