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Diffusive smoothing of 3D segmented medical data

This paper proposes an accurate, computationally efficient, and spectrum-free formulation of the heat diffusion smoothing on 3D shapes, represented as triangle meshes. The idea behind our approach is to apply a [Formula: see text]-degree Padé–Chebyshev rational approximation to the solution of the h...

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Detalles Bibliográficos
Autor principal: Patané, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522549/
https://www.ncbi.nlm.nih.gov/pubmed/26257940
http://dx.doi.org/10.1016/j.jare.2014.09.003
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author Patané, Giuseppe
author_facet Patané, Giuseppe
author_sort Patané, Giuseppe
collection PubMed
description This paper proposes an accurate, computationally efficient, and spectrum-free formulation of the heat diffusion smoothing on 3D shapes, represented as triangle meshes. The idea behind our approach is to apply a [Formula: see text]-degree Padé–Chebyshev rational approximation to the solution of the heat diffusion equation. The proposed formulation is equivalent to solve r sparse, symmetric linear systems, is free of user-defined parameters, and is robust to surface discretization. We also discuss a simple criterion to select the time parameter that provides the best compromise between approximation accuracy and smoothness of the solution. Finally, our experiments on anatomical data show that the spectrum-free approach greatly reduces the computational cost and guarantees a higher approximation accuracy than previous work.
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spelling pubmed-45225492015-08-07 Diffusive smoothing of 3D segmented medical data Patané, Giuseppe J Adv Res Original Article This paper proposes an accurate, computationally efficient, and spectrum-free formulation of the heat diffusion smoothing on 3D shapes, represented as triangle meshes. The idea behind our approach is to apply a [Formula: see text]-degree Padé–Chebyshev rational approximation to the solution of the heat diffusion equation. The proposed formulation is equivalent to solve r sparse, symmetric linear systems, is free of user-defined parameters, and is robust to surface discretization. We also discuss a simple criterion to select the time parameter that provides the best compromise between approximation accuracy and smoothness of the solution. Finally, our experiments on anatomical data show that the spectrum-free approach greatly reduces the computational cost and guarantees a higher approximation accuracy than previous work. Elsevier 2015-05 2014-10-18 /pmc/articles/PMC4522549/ /pubmed/26257940 http://dx.doi.org/10.1016/j.jare.2014.09.003 Text en © 2014 Production and hosting by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Original Article
Patané, Giuseppe
Diffusive smoothing of 3D segmented medical data
title Diffusive smoothing of 3D segmented medical data
title_full Diffusive smoothing of 3D segmented medical data
title_fullStr Diffusive smoothing of 3D segmented medical data
title_full_unstemmed Diffusive smoothing of 3D segmented medical data
title_short Diffusive smoothing of 3D segmented medical data
title_sort diffusive smoothing of 3d segmented medical data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522549/
https://www.ncbi.nlm.nih.gov/pubmed/26257940
http://dx.doi.org/10.1016/j.jare.2014.09.003
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