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Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging
After a brief survey on the parametric deformable models, we develop an iterative method based on the finite difference schemes in order to obtain energy-minimizing snakes. We estimate the approximation error, the residue, and the truncature error related to the corresponding algorithm, then we disc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303766/ https://www.ncbi.nlm.nih.gov/pubmed/22474542 http://dx.doi.org/10.1155/2012/918510 |
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author | Mitrea, Alexandru Ioan Badea, Radu Mitrea, Delia Nedevschi, Sergiu Mitrea, Paulina Ivan, Dumitru Mircea Gurzău, Octavian Mircia |
author_facet | Mitrea, Alexandru Ioan Badea, Radu Mitrea, Delia Nedevschi, Sergiu Mitrea, Paulina Ivan, Dumitru Mircea Gurzău, Octavian Mircia |
author_sort | Mitrea, Alexandru Ioan |
collection | PubMed |
description | After a brief survey on the parametric deformable models, we develop an iterative method based on the finite difference schemes in order to obtain energy-minimizing snakes. We estimate the approximation error, the residue, and the truncature error related to the corresponding algorithm, then we discuss its convergence, consistency, and stability. Some aspects regarding the prosthetic sugical methods that implement the above numerical methods are also pointed out. |
format | Online Article Text |
id | pubmed-3303766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33037662012-04-03 Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging Mitrea, Alexandru Ioan Badea, Radu Mitrea, Delia Nedevschi, Sergiu Mitrea, Paulina Ivan, Dumitru Mircea Gurzău, Octavian Mircia Comput Math Methods Med Research Article After a brief survey on the parametric deformable models, we develop an iterative method based on the finite difference schemes in order to obtain energy-minimizing snakes. We estimate the approximation error, the residue, and the truncature error related to the corresponding algorithm, then we discuss its convergence, consistency, and stability. Some aspects regarding the prosthetic sugical methods that implement the above numerical methods are also pointed out. Hindawi Publishing Corporation 2012 2012-03-04 /pmc/articles/PMC3303766/ /pubmed/22474542 http://dx.doi.org/10.1155/2012/918510 Text en Copyright © 2012 Alexandru Ioan Mitrea et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mitrea, Alexandru Ioan Badea, Radu Mitrea, Delia Nedevschi, Sergiu Mitrea, Paulina Ivan, Dumitru Mircea Gurzău, Octavian Mircia Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging |
title | Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging |
title_full | Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging |
title_fullStr | Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging |
title_full_unstemmed | Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging |
title_short | Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging |
title_sort | iterative methods for obtaining energy-minimizing parametric snakes with applications to medical imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303766/ https://www.ncbi.nlm.nih.gov/pubmed/22474542 http://dx.doi.org/10.1155/2012/918510 |
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