Next-Generation Models Using Optimized Joint Center Location

Living reference work entry

Abstract

Joint center location is essential in order to define anatomical axes of skeletal segments and is therefore clinically significant for the calculation of joint kinematics during motion analysis. Different methods exist to localize joint centers using either predictive methods, based on anthropometric measurements, or functional methods, based on the relative movement of the segments adjacent to the joint. Validations of these methods using medical imaging have been extensively studied in the literature on different groups of subjects. Consequently, methods of correction between the calculated location of the joint center and the exact one, found by medical imaging, were suggested by several authors. Recent studies showed that new age-specific predictive methods could be computed in order to better locate joint coordinate systems. In the future, new techniques could use the exact locations of joint centers, which would be localized by medical imaging, in combination with motion capture techniques using registration techniques; thus, exact kinematics and kinetics of the joints could be computed.

Keywords

Joint center Predictive Functional Medical imaging Validation 

References

  1. Andriacchi T, Strickland A (1985) Gait analysis as a tool to assess joint kinetics. In: Berme N, Engin A, Correia Da Silva K, (eds). Biomechanics of Normal and Pathological Human Articulating Joints. Martinus Nijhoff, Dordrecht: NATO SI Series. pp. 83–102.Google Scholar
  2. Assi A, Sauret C, Massaad A, Bakouny Z, Pillet H, Skalli W, et al (2016) Validation of hip joint center localization methods during gait analysis using 3D EOS imaging in typically developing and cerebral palsy children. Gait Posture [Internet] 42:30–5. Available from http://dx.doi.org/10.1016/j.gaitpost.2016.04.028%5Cn, http://linkinghub.elsevier.com/retrieve/pii/S0966636216300455%5Cn, http://dx.doi.org/10.1016/j.gaitpost.2015.06.089
  3. Bell AL, Brand RA, Pedersen DR (1989) Prediction of hip joint centre location from external landmarks. Hum Mov Sci [Internet] 8(1):3–16. Available from: http://www.sciencedirect.com/science/article/pii/0167945789900201. [cited 2015 Oct 27]
  4. Bell AL, Pedersen DR, Brand RA (1990) A comparison of the accuracy of several hip center. J Biomech 23:6–8CrossRefGoogle Scholar
  5. Camomilla V, Cereatti A, Vannozzi G, Cappozzo A (2006) An optimized protocol for hip joint centre determination using the functional method. J Biomech [Internet] 39(6):1096–1106. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0021929005001004
  6. Cappozzo A (1984) Gait analysis methodology. Hum Mov Sci 3:27–50CrossRefGoogle Scholar
  7. Cappozzo A, Catani F, Della Croce U, Leardini A (1995) Position and orientation in space of bones during movement: anatomical frame definition and determination. Clin Biomech [Internet] 10(4):171–178. Available from: http://www.sciencedirect.com/science/article/pii/026800339591394T
  8. Cappozzo A, Della Croce U, Leardini A, Chiari L (2005) Human movement analysis using stereophotogrammetry. Part 1: theoretical background. Gait Posture [Internet] 21(2):186–196. Available from: http://www.sciencedirect.com/science/article/pii/S0966636204000256. [cited 2015 Nov 4]
  9. Chaibi Y, Cresson T, Aubert B, Hausselle J, Neyret P, Hauger O et al (2012) Fast 3D reconstruction of the lower limb using a parametric model and statistical inferences and clinical measurements calculation from biplanar X-rays. Comput Methods Biomech Biomed Eng 15(5):457–466CrossRefGoogle Scholar
  10. Davis RB, Ounpuu S, Tyburski D, Gage JR (1991) A gait analysis data collection and reduction technique. Hum Mov Sci 10(5):575–587CrossRefGoogle Scholar
  11. Dubousset J, Charpak G, Dorion I, Skalli W, Lavaste F, Deguise J et al (2005) A new 2D and 3D imaging approach to musculoskeletal physiology and pathology with low-dose radiation and the standing position: the EOS system. Bull Acad Natl Med [Internet]. 189(2):287–297. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16114859
  12. Ehrig RM, Taylor WR, Duda GN, Heller MO (2006) A survey of formal methods for determining the centre of rotation of ball joints. J Biomech [Internet] 39(15):2798–2809. Available from: http://linkinghub.elsevier.com/retrieve/pii/S002192900500446X
  13. Ehrig RM, Taylor WR, Duda GN, Heller MO (2007) A survey of formal methods for determining functional joint axes. J Biomech 40(10):2150–2157CrossRefGoogle Scholar
  14. Gage JR (1993) Gait analysis. An essential tool in the treatment of cerebral palsy. Clin Orthop Relat Res [Internet] (288):126–134. Available from: http://www.ncbi.nlm.nih.gov/pubmed/8458125
  15. Gamage SSHU, Lasenby J (2002) New least squares solutions for estimating the average centre of rotation and the axis of rotation. J Biomech 35(1):87–93CrossRefGoogle Scholar
  16. Halvorsen K (2003) Bias compensated least squares estimate of the center of rotation. J Biomech [Internet] 36(7):999–1008. Available from: http://www.sciencedirect.com/science/article/pii/S0021929003000708. [cited 2016 Jun 21]
  17. Harrington ME, Zavatsky AB, Lawson SEM, Yuan Z, Theologis TN (2007) Prediction of the hip joint centre in adults, children, and patients with cerebral palsy based on magnetic resonance imaging. J Biomech [Internet] 40(3):595–602. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0021929006000583
  18. Humbert L, De Guise JA, Aubert B, Godbout B, Skalli W (2009) 3D reconstruction of the spine from biplanar X-rays using parametric models based on transversal and longitudinal inferences. Med Eng Phys 31(6):681–687CrossRefGoogle Scholar
  19. Jenkyn TR, Nicol AC (2007) A multi-segment kinematic model of the foot with a novel definition of forefoot motion for use in clinical gait analysis during walking. J Biomech 40(14):3271–3278CrossRefGoogle Scholar
  20. Kiernan D, Malone A, O’Brien T, Simms CK (2015) The clinical impact of hip joint centre regression equation error on kinematics and kinetics during paediatric gait. Gait Posture [Internet] 41(1):175–179. Available from: http://www.sciencedirect.com/science/article/pii/S0966636214007255
  21. Leardini A, Cappozzo A, Catani F, Toksvig-Larsen S, Petitto A, Sforza V et al (1999a) Validation of a functional method for the estimation of hip joint centre location. J Biomech 32(1):99–103CrossRefGoogle Scholar
  22. Leardini A, O’Connor JJ, Catani F, Giannini S (1999b) Kinematics of the human ankle complex in passive flexion; a single degree of freedom system. J Biomech 32(2):111–118CrossRefGoogle Scholar
  23. Lempereur M, Leboeuf F, Brochard S, Rousset J, Burdin V, Rémy-Néris O (2010) In vivo estimation of the glenohumeral joint centre by functional methods: accuracy and repeatability assessment. J Biomech 43(2):370–374CrossRefGoogle Scholar
  24. Lempereur M, Brochard S, Rémy-Néris O (2011) Repeatability assessment of functional methods to estimate the glenohumeral joint centre. Comput Methods Biomech Biomed Eng 5842:1–6Google Scholar
  25. Lempereur M, Kostur L, Leboucher J, Brochard S, Rémy-Néris O (2013) 3D freehand ultrasound to estimate the glenohumeral rotation centre. Comput Methods Biomech Biomed Eng [Internet] 16(Suppl 1):214–215. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23923914
  26. Lempereur M, Leboeuf F, Brochard S, Rémy-Néris O (2014) Effects of glenohumeral joint centre mislocation on shoulder kinematics and kinetics. Comput Methods Biomech Biomed Eng [Internet] 17(Suppl 1):130–131. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25074199
  27. Meskers CGM, Van Der Helm FCT, Rozendaal LA, Rozing PM (1997) In vivo estimation of the glenohumeral joint rotation center from scapular bony landmarks by linear regression. J Biomech 31(1):93–96CrossRefGoogle Scholar
  28. Nérot A, Choisne J, Amabile C, Travert C, Pillet H, Wang X, et al (2015a) A 3D reconstruction method of the body envelope from biplanar X-rays: evaluation of its accuracy and reliability. J Biomech [Internet] 48(16):4322–4326. Available from: http://dx.doi.org/10.1016/j.jbiomech.2015.10.044
  29. Nérot A, Wang X, Pillet H, Skalli W (2015b) Estimation of hip joint center from the external body shape: a preliminary study. Comput Methods Biomech Biomed Eng [Internet] 5842:1–2. Available from: http://www.tandfonline.com/doi/full/10.1080/10255842.2015.1069603
  30. Peters A, Baker R, Sangeux M (2010) Validation of 3-D freehand ultrasound for the determination of the hip joint centre. Gait Posture [Internet] 31(4):530–2. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0966636210000299
  31. Peters A, Baker R, Morris ME, Sangeux M (2012) A comparison of hip joint centre localisation techniques with 3-DUS for clinical gait analysis in children with cerebral palsy. Gait Posture [Internet] 36(2):282–286. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0966636212000999
  32. Piazza SJ, Okita N, Cavanagh PR (2001) Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation. J Biomech 34(7):967–973CrossRefGoogle Scholar
  33. Piazza SJ, Erdemir A, Okita N, Cavanagh PR (2004) Assessment of the functional method of hip joint center location subject to reduced range of hip motion. J Biomech 37:349–356CrossRefGoogle Scholar
  34. Pillet H, Sangeux M, Hausselle J, El Rachkidi R, Skalli W (2014) A reference method for the evaluation of femoral head joint center location technique based on external markers. Gait Posture [Internet] 39(1):655–658. Available from: http://linkinghub.elsevier.com/retrieve/pii/S096663621300578X
  35. Pratt V (1987) Direct least-squares fitting of algebraic surfaces. Comput Graph (ACM) 21:145–152MathSciNetCrossRefGoogle Scholar
  36. Ramsey DK, Wretenberg PF (1999) Biomechanics of the knee: methodological considerations in the in vivo kinematic analysis of the tibiofemoral and patellofemoral joint. Clin Biomech 14(9):595–611CrossRefGoogle Scholar
  37. Sangeux M, Peters A, Baker R (2011) Hip joint centre localization: evaluation on normal subjects in the context of gait analysis. Gait Posture [Internet] 34(3):324–328. Available from: http://dx.doi.org/10.1016/j.gaitpost.2011.05.019
  38. Sangeux M, Pillet H, Skalli W (2014) Which method of hip joint centre localisation should be used in gait analysis? Gait Posture [Internet] 40(1):20–25. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0966636214000642
  39. Scheys L, Spaepen A, Suetens P, Jonkers I (2008) Calculated moment-arm and muscle-tendon lengths during gait differ substantially using MR based versus rescaled generic lower-limb musculoskeletal models. Gait Posture 28(4):640–648CrossRefGoogle Scholar
  40. Schwartz MH, Rozumalski A (2005) A new method for estimating joint parameters from motion data. J Biomech [Internet] 38(1):107–116. Available from: http://linkinghub.elsevier.com/retrieve/pii/S002192900400137X
  41. Stagni R, Leardini A, Cappozzo A, Grazia Benedetti M, Cappello A (2000) Effects of hip joint centre mislocation on gait analysis results. J Biomech 33(11):1479–1487CrossRefGoogle Scholar
  42. Stebbins J, Harrington M, Thompson N, Zavatsky A, Theologis T (2006) Repeatability of a model for measuring multi-segment foot kinematics in children. Gait Posture. 23(4):401–410CrossRefGoogle Scholar
  43. Tylkowski C, Simon S, Mansour J (1982) Internal rotation gait in spastic cerebral palsy. In: Nelson JP (ed) Proceedings of the 10th Open Scientific Meeting of the Hip Society. C. V. Mosby, St Louis, pp 89–125Google Scholar
  44. Woltring H, Huiskes R, de Lange A, Veldpaus F (1985) Finite centroid and helical axis estimation from noisy landmark measurements in the study of human joint kinematics. J Biomech 18(5):379–389CrossRefGoogle Scholar
  45. Wu G, Siegler S, Allard P, Kirtley C, Leardini A, Rosenbaum D et al (2002) ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion – Part I: ankle, hip, and spine. J Biomech [Internet] 35(4):543–548. Available from: http://www.sciencedirect.com/science/article/pii/S0021929001002226
  46. Wu G, Van Der Helm FCT, Veeger HEJ, Makhsous M, Van Roy P, Anglin C et al (2005) ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion – Part II: shoulder, elbow, wrist and hand. J Biomech 38(5):981–992CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Laboratory of Biomechanics and Medical Imaging, Faculty of MedicineUniversity of Saint-JosephMar Mikhael, BeirutLebanon
  2. 2.Institut de Biomécanique Humaine Georges CharpakArts et Métiers ParisTechParisFrance
  3. 3.Hôtel-Dieu de France HospitalUniversity of Saint-JosephBeirutLebanon

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