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Non-rigid registration of breast surfaces using the laplace and diffusion equations

A semi-automated, non-rigid breast surface registration method is presented that involves solving the Laplace or diffusion equations over undeformed and deformed breast surfaces. The resulting potential energy fields and isocontours are used to establish surface correspondence. This novel surface-ba...

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Detalles Bibliográficos
Autores principales: Ong, Rowena E, Ou, Jao J, Miga, Michael I
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831036/
https://www.ncbi.nlm.nih.gov/pubmed/20149261
http://dx.doi.org/10.1186/1475-925X-9-8
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author Ong, Rowena E
Ou, Jao J
Miga, Michael I
author_facet Ong, Rowena E
Ou, Jao J
Miga, Michael I
author_sort Ong, Rowena E
collection PubMed
description A semi-automated, non-rigid breast surface registration method is presented that involves solving the Laplace or diffusion equations over undeformed and deformed breast surfaces. The resulting potential energy fields and isocontours are used to establish surface correspondence. This novel surface-based method, which does not require intensity images, anatomical landmarks, or fiducials, is compared to a gold standard of thin-plate spline (TPS) interpolation. Realistic finite element simulations of breast compression and further testing against a tissue-mimicking phantom demonstrate that this method is capable of registering surfaces experiencing 6 - 36 mm compression to within a mean error of 0.5 - 5.7 mm.
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spelling pubmed-28310362010-03-03 Non-rigid registration of breast surfaces using the laplace and diffusion equations Ong, Rowena E Ou, Jao J Miga, Michael I Biomed Eng Online Research A semi-automated, non-rigid breast surface registration method is presented that involves solving the Laplace or diffusion equations over undeformed and deformed breast surfaces. The resulting potential energy fields and isocontours are used to establish surface correspondence. This novel surface-based method, which does not require intensity images, anatomical landmarks, or fiducials, is compared to a gold standard of thin-plate spline (TPS) interpolation. Realistic finite element simulations of breast compression and further testing against a tissue-mimicking phantom demonstrate that this method is capable of registering surfaces experiencing 6 - 36 mm compression to within a mean error of 0.5 - 5.7 mm. BioMed Central 2010-02-12 /pmc/articles/PMC2831036/ /pubmed/20149261 http://dx.doi.org/10.1186/1475-925X-9-8 Text en Copyright ©2010 Ong et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Ong, Rowena E
Ou, Jao J
Miga, Michael I
Non-rigid registration of breast surfaces using the laplace and diffusion equations
title Non-rigid registration of breast surfaces using the laplace and diffusion equations
title_full Non-rigid registration of breast surfaces using the laplace and diffusion equations
title_fullStr Non-rigid registration of breast surfaces using the laplace and diffusion equations
title_full_unstemmed Non-rigid registration of breast surfaces using the laplace and diffusion equations
title_short Non-rigid registration of breast surfaces using the laplace and diffusion equations
title_sort non-rigid registration of breast surfaces using the laplace and diffusion equations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831036/
https://www.ncbi.nlm.nih.gov/pubmed/20149261
http://dx.doi.org/10.1186/1475-925X-9-8
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