title: Predicting muscle patterns for hemimandibulectomy models.
abstract: Deficits in movement and bite force are common in patients following segmental resection of the mandible consequent to oral cancer or injury. We have previously developed a dynamic model to analyse the biomechanics of an ungrafted segmental jaw resection with unilateral muscle and joint loss and post-surgical scarring. Here, we describe an inverse-modelling algorithm for automatically predicting muscle activations in the model for prescribed jaw movement and bite-force production. We present the results of simulations that postulate combined muscle activation patterns that could theoretically be used by patients to overcome post-surgical deficits. Such predictions could be the basis for future muscle retraining in clinical cases.
authors.affiliation: Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada. stavness@ece.ubc.ca
authors.forename: Ian
authors.initials: I
authors.lastname: Stavness
authors.forename: Alan G
authors.initials: AG
authors.lastname: Hannam
authors.forename: John E
authors.initials: JE
authors.lastname: Lloyd
authors.forename: Sidney
authors.initials: S
authors.lastname: Fels
mesh_terms: D000465:Algorithms; D006801:Humans; D008953:Models, Anatomic; D018482:Muscle, Skeletal / Q000033:anatomy & histology / Q000502:physiology*; D056948:Orthognathic Surgical Procedures