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Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid
BACKGROUND: The aim of this paper is to provide a general discussion, algorithm, and actual working programs of the deformation method for fast simulation of biological tissue formed by fibers and fluid. In order to demonstrate the benefit of the clinical applications software, we successfully used...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832498/ https://www.ncbi.nlm.nih.gov/pubmed/27087834 http://dx.doi.org/10.1186/s13029-016-0054-x |
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author | Sardinha, Ana Gabriella de Oliveira Oyama, Ceres Nunes de Resende de Mendonça Maroja, Armando Costa, Ivan F. |
author_facet | Sardinha, Ana Gabriella de Oliveira Oyama, Ceres Nunes de Resende de Mendonça Maroja, Armando Costa, Ivan F. |
author_sort | Sardinha, Ana Gabriella de Oliveira |
collection | PubMed |
description | BACKGROUND: The aim of this paper is to provide a general discussion, algorithm, and actual working programs of the deformation method for fast simulation of biological tissue formed by fibers and fluid. In order to demonstrate the benefit of the clinical applications software, we successfully used our computational program to deform a 3D breast image acquired from patients, using a 3D scanner, in a real hospital environment. RESULTS: The method implements a quasi-static solution for elastic global deformations of objects. Each pair of vertices of the surface is connected and defines an elastic fiber. The set of all the elastic fibers defines a mesh of smaller size than the volumetric meshes, allowing for simulation of complex objects with less computational effort. The behavior similar to the stress tensor is obtained by the volume conservation equation that mixes the 3D coordinates. Step by step, we show the computational implementation of this approach. CONCLUSIONS: As an example, a 2D rectangle formed by only 4 vertices is solved and, for this simple geometry, all intermediate results are shown. On the other hand, actual implementations of these ideas in the form of working computer routines are provided for general 3D objects, including a clinical application. |
format | Online Article Text |
id | pubmed-4832498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48324982016-04-16 Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid Sardinha, Ana Gabriella de Oliveira Oyama, Ceres Nunes de Resende de Mendonça Maroja, Armando Costa, Ivan F. Source Code Biol Med Methodology BACKGROUND: The aim of this paper is to provide a general discussion, algorithm, and actual working programs of the deformation method for fast simulation of biological tissue formed by fibers and fluid. In order to demonstrate the benefit of the clinical applications software, we successfully used our computational program to deform a 3D breast image acquired from patients, using a 3D scanner, in a real hospital environment. RESULTS: The method implements a quasi-static solution for elastic global deformations of objects. Each pair of vertices of the surface is connected and defines an elastic fiber. The set of all the elastic fibers defines a mesh of smaller size than the volumetric meshes, allowing for simulation of complex objects with less computational effort. The behavior similar to the stress tensor is obtained by the volume conservation equation that mixes the 3D coordinates. Step by step, we show the computational implementation of this approach. CONCLUSIONS: As an example, a 2D rectangle formed by only 4 vertices is solved and, for this simple geometry, all intermediate results are shown. On the other hand, actual implementations of these ideas in the form of working computer routines are provided for general 3D objects, including a clinical application. BioMed Central 2016-04-15 /pmc/articles/PMC4832498/ /pubmed/27087834 http://dx.doi.org/10.1186/s13029-016-0054-x Text en © Sardinha et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Sardinha, Ana Gabriella de Oliveira Oyama, Ceres Nunes de Resende de Mendonça Maroja, Armando Costa, Ivan F. Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
title | Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
title_full | Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
title_fullStr | Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
title_full_unstemmed | Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
title_short | Implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
title_sort | implementation and clinical application of a deformation method for fast simulation of biological tissue formed by fibers and fluid |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4832498/ https://www.ncbi.nlm.nih.gov/pubmed/27087834 http://dx.doi.org/10.1186/s13029-016-0054-x |
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