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Finite Element Model and Validation of Nasal Tip Deformation

Overview of attention for article published in Annals of Biomedical Engineering, September 2016
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Title
Finite Element Model and Validation of Nasal Tip Deformation
Published in
Annals of Biomedical Engineering, September 2016
DOI 10.1007/s10439-016-1729-9
Pubmed ID
Authors

Cyrus T. Manuel, Rani Harb, Alan Badran, David Ho, Brian J. F. Wong

Abstract

Nasal tip mechanical stability is important for functional and cosmetic nasal airway surgery. Palpation of the nasal tip provides information on tip strength to the surgeon, though it is a purely subjective assessment. Providing a means to simulate nasal tip deformation with a validated model can offer a more objective approach in understanding the mechanics and nuances of the nasal tip support and eventual nasal mechanics as a whole. Herein we present validation of a finite element (FE) model of the nose using physical measurements recorded using an ABS plastic-silicone nasal phantom. Three-dimensional photogrammetry was used to capture the geometry of the phantom at rest and while under steady state load. The silicone used to make the phantom was mechanically tested and characterized using a linear elastic constitutive model. Surface point clouds of the silicone and FE model were compared for both the loaded and unloaded state. The average Hausdorff distance between actual measurements and FE simulations across the nose were 0.39 ± 1.04 mm and deviated up to 2 mm at the outermost boundaries of the model. FE simulation and measurements were in near complete agreement in the immediate vicinity of the nasal tip with millimeter accuracy. We have demonstrated validation of a two-component nasal FE model, which could be used to model more complex modes of deformation where direct measurement may be challenging. This is the first step in developing a nasal model to simulate nasal mechanics and ultimately the interaction between geometry and airflow.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 23%
Student > Bachelor 6 15%
Student > Ph. D. Student 3 8%
Student > Doctoral Student 2 5%
Professor 2 5%
Other 4 10%
Unknown 14 35%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Engineering 6 15%
Arts and Humanities 1 3%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 2 5%
Unknown 17 43%