Advanced medical imaging techniques have allowed the understanding of the patterns of relative bone motions at human joints1. However, poor imaging contrasts of soft tissues have not allowed the full understanding of various glenohumeral ligaments (GHL) functions during glenohumeral joint (GHJ) manoeuvres. This is presently a significant limitation to research as these structures are said to be responsible for the passive stability of the GHJ2. Furthermore, the repairs of GHJ instability often take recourse to these structures3. Earlier studies have presented a model that numerically reconstructs or simulates GHJ motions4 and how the locus of bony attachment points of the GHLs on a dynamic GHJ could be numerically tagged and trailed5. The aim of this study was to advance these previous findings by developing an algorithm that allows the quantification of GHL lengths at any instantaneous position of the GHJ. CT scan of a set of humerus and scapula was reconstructed into two individual surface meshes of interconnected nodes, each node having a unique vectorial identification in space. The two attachment nodes (Introduction
Materials and Method