Cargando…
A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
Repositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the response of the soft tissue to the changes to the underlying skeleton. The clinical use of commercial prediction so...
Autores principales: | Knoops, Paul G. M., Borghi, Alessandro, Ruggiero, Federica, Badiali, Giovanni, Bianchi, Alberto, Marchetti, Claudio, Rodriguez-Florez, Naiara, Breakey, Richard W. F., Jeelani, Owase, Dunaway, David J., Schievano, Silvia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942840/ https://www.ncbi.nlm.nih.gov/pubmed/29742139 http://dx.doi.org/10.1371/journal.pone.0197209 |
Ejemplares similares
-
Finite element method for the design of implants for temporal hollowing
por: Ruggiero, Federica, et al.
Publicado: (2021) -
Soft tissue prediction in orthognathic surgery: Improving accuracy by means of anatomical details
por: Ruggiero, Federica, et al.
Publicado: (2023) -
A population-specific material model for sagittal craniosynostosis to predict surgical shape outcomes
por: Borghi, Alessandro, et al.
Publicado: (2019) -
Parametrizing the genioplasty: a biomechanical virtual study on soft tissue behavior
por: Ruggiero, F., et al.
Publicado: (2021) -
A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery
por: Knoops, Paul G. M., et al.
Publicado: (2019)