[en] In biomechanical modeling and motion analysis, the use of personalized data such as bone geometry would provide more accurate and reliable results. However, there is still a limited number of tools used to measure the evolution of articular interactions. This paper proposes a coherence index to describe the articular status of contact surfaces during motion. The index relies on a robust estimation of the evolution of surfacic interactions between the joint surfaces. The index is first compared to distance maps on simulated motions. It is then used to compare two motion capture protocols (two different localizations of the markers for scapula tracking). The results show that the index detects progressive modifications in the joint and allows to distinguish the two protocols, in accordance with the literature. In the future, the index could, among other things, be used to compare / improve biomechanical models and motion analysis protocols.
Research Center/Unit :
Laboratoire de Traitement de l'Information Médicale (LaTIM - INSERM U650)
Disciplines :
Human health sciences: Multidisciplinary, general & others
Author, co-author :
Schwartz, Cédric ; Université de Liège - ULiège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Leboeuf, Fabien; CHU Nantes
Rémy-Néris, Olivier; CHU Brest
Brochard, Sylvain; CHU Brest
Lempereur, Mathieu; CHU Brest
Burdin, Valérie; Telecom Bretagne
Language :
English
Title :
Detection of incoherent joint state due to inaccurate bone motion estimation
Publication date :
2013
Journal title :
Computer Methods in Biomechanics and Biomedical Engineering
Allaire, S, Jacq, JJ, Burdin, V and Roux, C. 2007. Ellipsoid-constrained robust fitting of quadrics with application to the 3D morphological characterization of articular surfaces, Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC'07; Lyon, France
Andersen, M, Benoit, D, Damsgaard, M, Ramsey, D and Rasmussen, J. 2009. Do kinematic models reduce the effect of soft tissue artifacts in skin marker-based motion analysis? An in vivo study of knee kinematics. J Biomech, 43: 268-273.
Anderst, W and Tashman, S. 2003. A method to estimate in vivo dynamic articular surface interaction. J Biomech, 36(9): 1291-1299.
Arbabi, E, Boulic, R and Thalmann, D. 2009. Fast collision detection methods for joint surfaces. J Biomech, 42(2): 91-99.
Ateshian, GA, Rosenwasser, MP and Mow, VC. 1992. Curvature characteristics and congruence of the thumb carpometacarpal joint: differences between female and mal joints. J Biomech, 25(6): 591-607.
Besl, P and McKay, N. 1992. A method for registration of 3-d shapes. IEEE Transact Pattern Anal Mach Intell, 14: 239-256.
Boileau, P and Walch, G. 1997. The three-dimensional geometry of the proximal humerus. Implications for surgical technique. J Bone Joint Surg Br, 79(5): 857-865.
Cappozzo, A, Catani, F, Della Croce, U and Leardini, A. 1995. Position and orientation in space of bones during movement: anatomical frame definition and determination. Clin Biomech, 10: 171-178.
Damsgaard, M, Rasmussen, J, Christensen, ST, Surma, E and de Zee, M. 2004. Analysis of musculoskeletal systems in the anybody modeling system. Simulat Model Practice Theory, 14(8): 1100-1111.
Delp, SL, Anderson, FC, Arnold, AS, Loan, P, Habib, A, John, CT, Guendelman, E and Thelen, DG. 2007. Opensim: open-source software to create and analyze dynamic simulations of movement. IEEE Transact Biomed Eng, 54(11): 1940-1950.
Freeman, MAR and Pinskerova, V. 2005. The movement of the normal tibio-femoral joint. J Biomech, 38(2): 197-208.
Graichen, H, Stammberger, T, Bonel, H, Englmeier, K-H, Reiser, M and Eckstein, M. 2000. Glenohumeral translation during active and passive elevation of the shoulder-a 3D open-MRI study. J Biomech, 33: 609-613.
Hamilton GR. 1996. Joint congruity and congruous range of motion applied to displaced intra-articular calcaneal fractures [PhD thesis]. Calgary: University of Calgary
Hill, A, Bull, A, Wallace, A and Johnson, G. 2008. Qualitative and quantitative descriptions of glenohumeral motion. Gait Posture, 27(2): 177-188.
Huber, P. 1981. Robust statistics, New York: Wiley.
Jacq, J-J, Cresson, T, Burdin, V and Roux, C. 2008. Performing accurate joint kinematics from 3-D in vivo image sequences through consensus-driven simultaneous registration. IEEE TBME, 55: 1620-1633.
Karduna, AR, McClure, PW, Michener, LA and Sennett, B. 2001. Dynamic measurements of three-dimensional scapular kinematics: a validation study. Transact ASME, 123: 184-190.
Kelkar, R, Wang, VM, Flatow, EL, Newton, PM, Ateshian, GA, Bigliani, LU, Pawluk, RJ and Mow, VC. 2001. Glenohumeral mechanics: a study of articular geometry, contact and kinematics. J Shoulder Elbow Surg, 10(1): 73-84.
Klein Horsman, MD, Koopman, HFJM, van der Helm, FCT, Poliacu Prosé, L and Veeger, HEJ. 2007. Morphological muscle and joint parameters for musculoskeletal modelling of the lower extremity. Clin Biomech, 22: 239-247.
Koo, S and Andriacchi, TP. 2007. A comparison of the influence of global functional loads vs. local contact anatomy on cartilage thickness at the knee. J Biomech, 40: 2961-2966.
Kralovic BJ. 2000. The effect of patellofemoral kinematics on joint congruence and cartilage stresses [PhD thesis]. Calgary: University of Calgary
Leardini, A, Chiari, L, Della Croce, U and Cappozzo, A. 2005. Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. Gait Posture, 21: 212-225.
Leboucher, J, Schwartz, C, Brochard, S, Burdin, V and Rémy-Néris, O. 2009. Evaluation of elbow biomechanical models using data fusion: application to elbow flexion, Xth National Congress of the Italian Society for Clinical Movement Analysis (SIAMOC); Alghero, Sardegna
Lempereur, M, Leboeuf, F, Brochard, S, Rousset, J, Burdin, V and Rémy-Néris, O. 2010. In vivo estimation of the glenohumeral joint centre by functional methods: accuracy and repeatability assessment. J Biomech, 43: 370-374.
Lee, K-M and Guo, J. 2010. Kinematic and dynamic analysis of an anatomically based knee joint. J Biomech, 43: 1231-1236.
Lu, T-W and O'Connor, JJ. 1999. Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints. J Biomech, 32: 129-134.
Meskers, CGM, van de Sande, MAJ and de Groot, HM. 2007. Comparison between tripod and skin-fixed recording of scapular motion. J. Biomech., 40(4): 941-946.
McLaughlin, K, Ronsky, J and Frayne, R. 2005. In vivo assessment of the congruence in the patellofemoral joint of healthy subjects, Proceedings of the ISB XXth Congress; Cleveland, OH, USA
Matsui, K, Shimada, K and Andrew, PD. 2006. Deviation of skin marker from bone target during movement of the scapula. J Orthop Sci, 11: 180-184.
Meskers, CGM, Vermeulen, HM, de Groot, HM, Van der Helm, FCT and Rozing, PM. 1998. 3D shoulder position measurements using six-degree-of-freedom electromagnetic tracking device. Clin Biomech, 13: 280-292.
Rasmussen, J, de Zee, M, Damsgaard, M, Christensen, ST, Marek, C and Siebertz, K. 2005. A general method for scaling musculo-skeletal models, International Symposium on Computer Simulation in Biomechanics; Cleveland, OH, USA
Rousseeuw, P and Leroy, A. 1987. Robust Regression and Outlier Detection, New York: Wiley.
Schwartz, C. 2009. Contribution à l'élaboration d'un espace commun de representation pour l'analyse morpho-fonctionnelle du member supérieur: application à l'articulation glénohumérale. Ph.D. thesis. Telecom Bretagne, France
Schwartz, C, de Zee, M, Rasmussen, J and Voigt, M. 2010. Knee model using articular shape knowledge, 17th Congress of the European Society of Biomechanics; Edinburgh, Great Britain
Söderkvist, I and Wedin, P-A. 1993. Determining the movements of the skeleton using well-configured markers. J Biomech, 26: 1473-1477.
Soslowsky, LJ, Flatow, EL, Bigliani, LU, Pawluk, RJ, Ateshian, GA and Mow, VC. 1992. Quantification of in situ contact areas at the glenohumeral joint: a biomechanical study. J Orthop Res, 10: 524-534.
Van Andel, C, Van Hutten, K, Eversdijk, M, Veeger, D and Harlaar, J. 2009. Recording scapular motion using an acromion marker cluster. Gait Posture, 29(1): 123-128.
Van Sint Jan, S, Salvia, P, Hilal, I, Sholukha, V, Rooze, M and Clapworthy, G. 2002. Registration of 6-DOFs electrogoniometry and CT medical imaging for 3D joint modeling. J Biomech., 35: 1475-1484.
Veeger, HEJ. 2000. The position of the rotation center of the glenohumeral joint. J Biomech, 33: 1711-1715.
Windisch, G, Odehnal, B, Reimann, R, Anderhuber, F and Stachel, H. 2007. Contact areas of the tibiotalar joint. J Orthop Res, 25(11): 1481-1487.
Wolf, A, Jaramaz, B and Murtha, P. 2008. Fully automated computer algorithm for calculating articular contact points with application to knee biomechanics. Med Biol Eng Comput, 46(3): 233-240.
Yan, J, Feng, X, Kim, JH and Rajulu, S. 2010. Review of biomechanical models for human shoulder complex. Int. J. Hum. Factors Model. Simul., 1(3): 271-293.