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Convened under the auspicious of esteemed endorsers - ISTA

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study provides in vivo measurements and non-invasive estimates <strong>of</strong> joint contact forces duringhigh flexion activities that can be used for joint simulator protocols and finite elementmodeling.FiguresFigure 1 Figure 2Friday, October 8, 2010, 13:30-14:10Session B12: Shoulder ArthroplastySurface-Contour Based Algorithm for Quantifying Glenohumeral LigamentLength Changes During Function*Hippolite Amadi - Imperial College London - London, United Kingdom*Email: hippolite.amadi00@imperial.ac.ukIntroduction: Advanced medical imaging techniques have allowed <strong>the</strong> <strong>under</strong>standing <strong>of</strong> <strong>the</strong>patterns <strong>of</strong> relative bone motions at human joints 1 . However, poor imaging contrasts <strong>of</strong> s<strong>of</strong>ttissues have not allowed <strong>the</strong> full <strong>under</strong>standing <strong>of</strong> various glenohumeral ligaments (GHL)functions during glenohumeral joint (GHJ) manoeuvres. This is presently a significant limitationto research as <strong>the</strong>se structures are said to be responsible for <strong>the</strong> passive stability <strong>of</strong> <strong>the</strong> GHJ 2 .Fur<strong>the</strong>rmore, <strong>the</strong> repairs <strong>of</strong> GHJ instability <strong>of</strong>ten take recourse to <strong>the</strong>se structures 3 . Earlierstudies have presented a model that numerically reconstructs or simulates GHJ motions 4 andhow <strong>the</strong> locus <strong>of</strong> bony attachment points <strong>of</strong> <strong>the</strong> GHLs on a dynamic GHJ could be numericallytagged and trailed 5 . The aim <strong>of</strong> this study was to advance <strong>the</strong>se previous findings by developingan algorithm that allows <strong>the</strong> quantification <strong>of</strong> GHL lengths at any instantaneous position <strong>of</strong> <strong>the</strong>GHJ.Materials and Method: CT scan <strong>of</strong> a set <strong>of</strong> humerus and scapula was reconstructed into twoindividual surface meshes <strong>of</strong> interconnected nodes, each node having a unique vectorialidentification in space. The two attachment nodes (a and b) <strong>of</strong> a GHL were identified on <strong>the</strong>bones 5 . Least squares geometric sphere was fitted upon <strong>the</strong> humeral head (HH) and its centre(c) and radius (r) quantified 6 . Vectors a, b and c were applied to represent <strong>the</strong> ‘dominantligament plane’ concomitant with <strong>the</strong> 2D 'dominant plane' <strong>of</strong> Runciman (1993) 7 . This planedefined <strong>the</strong> path through which <strong>the</strong> ligament wrapped on <strong>the</strong> HH. The point <strong>of</strong> initial or end <strong>of</strong>contact <strong>of</strong> GHL on <strong>the</strong> HH was defined as <strong>the</strong> point on HH where a line from c intercepts <strong>the</strong>ligament at 90°. Total GHL length was calculated as <strong>the</strong> sum <strong>of</strong> its three segments, namely: (1)Proximal segment – a straight line from its glenoid attachment node to <strong>the</strong> point <strong>of</strong> initialcontact (2) Wrap segment – an arc <strong>of</strong> (r) radius <strong>of</strong> curvature from initial to end contact points(3) Distal segment – a straight line from end contact point to <strong>the</strong> humeral node <strong>of</strong> attachment.The wrap segment was fur<strong>the</strong>r refined by adjusting ligament contacts along this path to <strong>the</strong>actual surface contour <strong>of</strong> <strong>the</strong> HH by integrating all <strong>the</strong> surface nodes along <strong>the</strong> path. Thefile:///E|/<strong>ISTA</strong>2010-Abstracts.htm[12/7/2011 3:15:47 PM]

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