Literature DB >> 21381488

Sensitivity analysis of a validated subject-specific finite element model of the human craniofacial skeleton.

T D Szwedowski1, J Fialkov, C M Whyne.   

Abstract

Developing a more complete understanding of the mechanical response of the craniofacial skeleton (CFS) to physiological loads is fundamental to improving treatment for traumatic injuries, reconstruction due to neoplasia, and deformities. Characterization of the biomechanics of the CFS is challenging due to its highly complex structure and heterogeneity, motivating the utilization of experimentally validated computational models. As such, the objective of this study was to develop, experimentally validate, and parametrically analyse a patient-specific finite element (FE) model of the CFS to elucidate a better understanding of the factors that are of intrinsic importance to the skeletal structural behaviour of the human CFS. An FE model of a cadaveric craniofacial skeleton was created from subject-specific computed tomography data. The model was validated based on bone strain measurements taken under simulated physiological-like loading through the masseter and temporalis muscles (which are responsible for the majority of craniofacial physiologic loading due to mastication). The baseline subject-specific model using locally defined cortical bone thicknesses produced the strongest correlation to the experimental data (r2 = 0.73). Large effects on strain patterns arising from small parametric changes in cortical thickness suggest that the very thin bony structures present in the CFS are crucial to characterizing the local load distribution in the CFS accurately.

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Year:  2011        PMID: 21381488     DOI: 10.1243/09544119JEIM786

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  6 in total

1.  Modelling human skull growth: a validated computational model.

Authors:  Joseph Libby; Arsalan Marghoub; David Johnson; Roman H Khonsari; Michael J Fagan; Mehran Moazen
Journal:  J R Soc Interface       Date:  2017-05       Impact factor: 4.118

2.  An optimized process flow for rapid segmentation of cortical bones of the craniofacial skeleton using the level-set method.

Authors:  T D Szwedowski; J Fialkov; A Pakdel; C M Whyne
Journal:  Dentomaxillofac Radiol       Date:  2013-02-18       Impact factor: 2.419

3.  Predicting calvarial growth in normal and craniosynostotic mice using a computational approach.

Authors:  Arsalan Marghoub; Joseph Libby; Christian Babbs; Erwin Pauws; Michael J Fagan; Mehran Moazen
Journal:  J Anat       Date:  2017-12-15       Impact factor: 2.610

4.  Validity and sensitivity of a human cranial finite element model: implications for comparative studies of biting performance.

Authors:  Viviana Toro-Ibacache; Laura C Fitton; Michael J Fagan; Paul O'Higgins
Journal:  J Anat       Date:  2015-09-23       Impact factor: 2.610

5.  Maxillofacial fractures and craniocerebral injuries - stress propagation from face to neurocranium in a finite element analysis.

Authors:  Heike Huempfner-Hierl; Andreas Schaller; Thomas Hierl
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2015-04-21       Impact factor: 2.953

6.  Human feeding biomechanics: performance, variation, and functional constraints.

Authors:  Justin A Ledogar; Paul C Dechow; Qian Wang; Poorva H Gharpure; Adam D Gordon; Karen L Baab; Amanda L Smith; Gerhard W Weber; Ian R Grosse; Callum F Ross; Brian G Richmond; Barth W Wright; Craig Byron; Stephen Wroe; David S Strait
Journal:  PeerJ       Date:  2016-07-26       Impact factor: 2.984

  6 in total

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