  Developing computational models of the human jaw acquired from cone-beam
computed tomography (CBCT) scans is time-consuming and labor-intensive.
Besides, a quantitative comparison is not attainable in the literature due to
the involved manual tasks and the lack of surface/volumetric meshes. We share
an open-access repository of 17 patient-specific finite-element (FE) models of
human jaws acquired from CBCT scans and the utilized pipeline for generating
them. The proposed pipeline minimizes model generation time and potential
errors caused by human interventions. It gets dense surface meshes and provides
reduced conformal surface/volumetric meshes suitable for FE analysis. We have
quantified the geometrical variations of developed models and assessed models'
accuracy from different aspects; (1) the maximum deviations from the input
meshes, (2) the mesh quality, and (3) the simulation results. Our results
indicate that the developed computational models are precise and have quality
meshes suitable for various FE scenarios. Therefore, we believe this dataset
will pave the way for future population studies.
