Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/43610

TitleNumerical simulation of breast reduction with a new knitting condition
Author(s)Lopes, Diogo
Clain, Stéphane
Pereira, Rui M. S.
Machado, Gaspar J.
Smirnov, Georgi
Vasilevskiy, Igor
KeywordsBreast surgery
Numerical simulation
Knitting conditions
Issue dateFeb-2017
PublisherWiley
JournalInternational Journal for Numerical Methods in Biomedical Engineering
CitationLopes, D., Clain, S., Pereira, R. M. S., Machado, G. J., Smirnov, G., and Vasilevskiy, I. (2017) Numerical simulation of breast reduction with a new knitting condition. Int. J. Numer. Meth. Biomed. Engng., 33: e02796. doi: 10.1002/cnm.2796
Abstract(s)Breast reduction is one of the most common procedures in breast surgery. The aim of this work is to develop a computational model allowing one to forecast the final breast geometry according to the incision marking parameters. This model can be used in surgery simulators that provide preoperative planning and training, allowing the study of the origin of the errors in breast reduction. From the mathematical point of view, this is a problem of calculus of variations with unusual boundary conditions, known as knitting conditions. The breast tissue is considered as a hyperelastic material, discretized with three-dimensional finite elements for the body, whereas the skin is modelled with two-dimensional finite elements on the curved surface. Although the model is of low precision, we show that it is sufficient for a satisfactory prediction of breast reduction surgery results, allowing an analysis of errors frequently performed during the surgery and giving an understanding of how to avoid or correct them.
TypeArticle
DescriptionFirst published 2 june 2016 (early bird).
URIhttp://hdl.handle.net/1822/43610
DOI10.1002/cnm.2796
ISSN2040-7947
Publisher versionhttp://onlinelibrary.wiley.com/doi/10.1002/cnm.2796/full
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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