Geometry-based algorithm for the prediction of nonpathologic mandibular movement.
OBJECTIVE
The goal of this study was to create a model for human mandibular movement prediction based on the geometry of the mandible.


METHODS
Ten nonpathologic individuals underwent motion tracking and sagittal radiographs. From the data, a mathematical algorithm for mandibular movement prediction was developed based on mandibular geometry. The algorithm was then used to predict the mandibular movement of a cadaver subject. The algorithm was also validated in a living subject by comparing to recorded mandibular movement.


RESULTS
Both mandibular movement predictions were free of bone collisions and showed mandibular movement that mimicked the in vivo situation. Comparisons between the predicted and recorded mandibular movements for the living human subject verified that the prediction model was accurate.


CONCLUSIONS
The mandibular movement can be predicted based on the mandibular opening radius. The model is validated in living human subjects and shows effectiveness in predictions for cadaver models. Mandibular movement prediction may be a useful tool for physicians as well as investigators who focus on temporomandibular joint research.
Lemoine
Jeremy J
JJ
Former Graduate Student, Department of Bioengineering, Rice University, Houston, TX, USA.
Xia
James J
JJ
Andersen
Clark R
CR
Gateno
Jaime
J
Buford
William
W
Liebschner
Michael A K
MA
D000328:Adult; D000465:Algorithms; D000704:Analysis of Variance; D002508:Cephalometry / Q000379:methods; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008334:Mandible / Q000000981:diagnostic imaging / Q000502:physiology*; D008875:Middle Aged; D009068:Movement / Q000502:physiology*; D011859:Radiography; D013704:Temporomandibular Joint / Q000000981:diagnostic imaging / Q000502:physiology*; D013705:Temporomandibular Joint Disorders / Q000503:physiopathology