Application of knee joint motion analysis in machanism based on three-dimensional image registration and coordinate transformation

doi:10.12307/2022.517

Abstract

Abstract: BACKGROUND: Research on movement process, data, and mechanism of the knee joint is helpful to design and modify a knee joint prosthesis, and improve the knee joint movement function according to its movement characteristics and biomechanical characteristics, so as to avoid sports injuries, improve sports performance and prolong sports life. The movement data of the knee joint are the basis for studying its mechanical properties.
OBJECTIVE: According to the three-dimensional geometric model of the knee joint, to determine the movement data of the tibiofemoral joint and the patellofemoral joint at different flexion angles, thereby providing a new approach and reference for the kinematic analysis of complex spatial mechanisms such as robots and for the mechanical analysis and design of artificial prostheses.
METHODS: First, the three-dimensional point cloud of the knee joint at 0°-120° static knee flexion was captured using computed tomography. Secondly, the combination of three-dimensional image registration and coordinate transformation was proposed to accurately analyze the relative motion of the knee joint. Three-dimensional images of the knee joint (including the femur, tibia, patella) in different flexion positions and their coordinates were presented in the same coordinate system. The orthogonal coordinate system of each bone tissue of the knee joint was then established. The movement of the knee joint was studied based on coordinate transformation using the Z-Y-X Euler angle method around the motion coordinate system.
RESULTS AND CONCLUSION: (1)The motion data of the tibiofemoral and patellofemoral joints with 0°-120° of knee flexion were obtained in the five degrees of freedom, which offers a support for studying the mechanical properties of the knee joint and prosthetic design. This method could be used for the motion analysis of kinematics pairs under complex kinematics in mechanism. (2)To conclude, this method is proposed based on multi-static discrete medical images for kinematic measurement and analysis in human body. It can be conducted based on existing computed tomography scanning equipment and existing software, which has low cost and is easily understood. Moreover, this method is characterized by high measurement accuracy and the accuracy error is less than 1 mm.

Key words: motion analysis, mechanism, three-dimensional image processing, image registration, coordinate transformation, knee joint, motion measurement, biomechanics

CLC Number:

Wang Jianping, Zhang Xiaohui, Yu Jinwei, Wei Shaoliang, Zhang Xinmin, Xu Xingxin, Qu Haijun. Application of knee joint motion analysis in machanism based on three-dimensional image registration and coordinate transformation[J]. Chinese Journal of Tissue Engineering Research, 2022, 26(12): 1922-1926.

Figures/Tables 3

References

[1] 于勇,刘静华,赵罡.与基于模型定义技术相融合的工程图学课程教学探讨[J].图学学报,2019,40(4):816-821.
[2] 吴泽斌,张东亮,李基拓,等.复杂场景下的人体轮廓提取及尺寸测量[J].图学学报,2020,41(5):740-749.
[3] 张延恒,莫春晖,张莹,等.移动式康复训练机器人及下肢康复运动分析[J].华中科技大学学报(自然科学版),2021,49(3):6-11.
[4] ADOUNI M, FAISAL TR, GAITH M, et al. A multiscale synthesis: characterizing acute cartilage failure under an aggregate tibiofemoral joint loading. Biomech Model Mechanobiol. 2019;18(6):1563-1575.
[5] 白云峰,吴汉忠,刘建辉.一种可穿戴下肢外骨骼机器人的结构设计与仿真[J].毛纺科技,2021,49(7):68-74.
[6] 李书阁,赵鹏举,王伟强.基于连杆机构的四足仿生机器人的设计[J].装备制造技术,2021(6):23-26.
[7] 史亦凡,管小荣.外肢体机器人的运动分析与控制仿真[J].兵器装备工程学报,2021,42(4):218-223.
[8] WANG JP, WANG SH, WANG YQ, et al. A data process of human knee joint kinematics obtained by motion-capture measurement. BMC Med Inform Decis Mak. 2021;21(1):121.
[9] 王建平,梁军,张雁儒,等.人体膝关节股胫关节运动特性分析[J].中国临床解剖学,2017,35(1):62-68.
[10] 王建平,符龙,张雁儒,等.正常膝关节和人工膝关节髌股关节高屈曲运动特性及其比较分析[J].中国临床解剖学杂志,2016,34(4): 432-438.
[11] BENOIT DL, RAMSEY DK, LAMONTAGNE M, et al. Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo. Gait Posture. 2006;24(2):152-164.
[12] ISAAC DL, BEARD DJ, PRICE AJ, et al. In-vivo sagittal plane knee kinematics: ACL intact, deficient and reconstructed knees. Knee. 2005; 12(1):25-31.
[13] REES JL, BEARD DJ, PRICE AJ, et al. Real in vivo kinematic differences between mobile-bearing and fixed-bearing total knee arthroplasties. Clin Orthop Relat Res. 2005;(432):204-209.
[14] 王建平,赵烜,胡海,等.基于MATLAB的人体膝关节运动捕捉测量与分析[J].河南理工大学学报(自然科学版),2020,39(3):86-93.
[15] 劳峥,樊文慧.医学图像处理MIM软件和Velocity软件在弹性模体中形变配准精度的比较研究[J].中国医学装备,2021,18(6):47-51.
[16] ZHANG J, LIU F, YU X, et al. A 3D medical image registration method based on multi-scale feature fusion. Journal of Physics Conference Series. 1948(1):012057.
[17] LUO Y, CAO W, HE Z, et al. Deformable adversarial registration network with multiple loss constraints. Comput Med Imaging Graph. 2021;91: 101931.
[18] 宋枭,朱家明,徐婷宜.基于B样条仿射和GANs的医学图像配准[J].无线电工程,2021,51(6):433-439.
[19] SAEIDI M, GUBAUA JE, KELLY P, et al. The influence of an extra-articular implant on bone remodelling of the knee joint. Biomech Model Mechanobiol. 2020;19(1):37-46.
[20] 骆健,王立华,王涛.不同材料赋值方法下踝关节三维有限元模型的应力及位移变化[J].中国组织工程研究,2019,23(18):2822-2826.
[21] 刘韵婷,郭辉,黄将诚.基于UG与ADAMS的人体下肢骨骼肌建模及仿真[J].中国组织工程研究,2018,22(11):1719-1724.
[22] 余华,李少星,赵长义.胫骨远端关节面缺损有限元模型的生物力学分析[J].中国组织工程研究,2013,17(43):7571-7580.
[23] WANG JP, GUO D, WANG SH, et al. Structural stability of a polyetheretherketone femoral component-A 3D finite element simulation. Clin Biomech (Bristol, Avon). 2019;70:153-157.
[24] 何晓宇,王朝强,周之平.三维有限元方法构建足部健康骨骼与常见疾病模型及生物力学分析[J].中国组织工程研究,2020,24(9): 1410-1415.
[25] 张吉超,董万鹏.膝关节有限元模型参数设置[J].中国组织工程研究,2021,25(30):4781-4786.
[26] 高辉,王晨艳.,不同屈曲状态下固定轴和移动轴膝关节胫-股关节的生物力学变化[J].太原理工大学学报,2021,52(1):144-150.
[27] 侯波,王毅,沈宇辉.膝关节动态有限元模型的力学分析[J].中国组织工程研究,2013,17(22):3998-4004.
[28] 王建平,韩雪莲,季文婷,等.人体膝胫股关节相对运动的三维图像配准分析[J].生物医学工程学杂志,2009,26(6):1340-1344.
[29] ASANO T, AKAGI M, KOIKE K, et al. In vivo three-dimensional patellar tracking on the femur. Clin Orthop Relat Res. 2003;(413):222-232.
[30] JOHAL P, WILLIAMS A, WRAGG P, et al. Tibio-femoral movement in the living knee. A study of weight bearing and non-weight bearing knee kinematics using ‘interventional’ MRI. J Biomech. 2005;38(2):269-276.
[31] ASANO T, AKAGI M, TANAKA K, et al. In vivo three-dimensional knee kinematics using a biplanar image-matching technique. Clin Orthop Relat Res. 2001;(388):157-166.
[32] IWAKI H, PINSKEROVA V, FREEMAN MA. Tibiofemoral movement 1: the shapes and relative movements of the femur and tibia in the unloaded cadaver knee. J Bone Joint Surg Br. 2000;82(8):1189-1195.
[33] BULL AM, AMIS AA. Knee joint motion: description and measurement. Proc Inst Mech Eng H. 1998;212(5):357-372.
[34] CHURCHILL DL, INCAVO SJ, JOHNSON CC, et al. The transepicondylar axis approximates the optimal flexion axis of the knee. Clin Orthop Relat Res. 1998;(356):111-118.