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A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants

A correlative imaging methodology was developed to accurately quantify bone formation in the complex lattice structure of additive manufactured implants. Micro computed tomography (μCT) and histomorphometry were combined, integrating the best features from both, while demonstrating the limitations o...

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Autores principales: Geng, Hua, Todd, Naomi M., Devlin-Mullin, Aine, Poologasundarampillai, Gowsihan, Kim, Taek Bo, Madi, Kamel, Cartmell, Sarah, Mitchell, Christopher A., Jones, Julian R., Lee, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4859838/
https://www.ncbi.nlm.nih.gov/pubmed/27153828
http://dx.doi.org/10.1007/s10856-016-5721-6
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author Geng, Hua
Todd, Naomi M.
Devlin-Mullin, Aine
Poologasundarampillai, Gowsihan
Kim, Taek Bo
Madi, Kamel
Cartmell, Sarah
Mitchell, Christopher A.
Jones, Julian R.
Lee, Peter D.
author_facet Geng, Hua
Todd, Naomi M.
Devlin-Mullin, Aine
Poologasundarampillai, Gowsihan
Kim, Taek Bo
Madi, Kamel
Cartmell, Sarah
Mitchell, Christopher A.
Jones, Julian R.
Lee, Peter D.
author_sort Geng, Hua
collection PubMed
description A correlative imaging methodology was developed to accurately quantify bone formation in the complex lattice structure of additive manufactured implants. Micro computed tomography (μCT) and histomorphometry were combined, integrating the best features from both, while demonstrating the limitations of each imaging modality. This semi-automatic methodology registered each modality using a coarse graining technique to speed the registration of 2D histology sections to high resolution 3D μCT datasets. Once registered, histomorphometric qualitative and quantitative bone descriptors were directly correlated to 3D quantitative bone descriptors, such as bone ingrowth and bone contact. The correlative imaging allowed the significant volumetric shrinkage of histology sections to be quantified for the first time (~15 %). This technique demonstrated the importance of location of the histological section, demonstrating that up to a 30 % offset can be introduced. The results were used to quantitatively demonstrate the effectiveness of 3D printed titanium lattice implants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10856-016-5721-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-48598382016-05-21 A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants Geng, Hua Todd, Naomi M. Devlin-Mullin, Aine Poologasundarampillai, Gowsihan Kim, Taek Bo Madi, Kamel Cartmell, Sarah Mitchell, Christopher A. Jones, Julian R. Lee, Peter D. J Mater Sci Mater Med Engineering and Nano-engineering Approaches for Medical Devices A correlative imaging methodology was developed to accurately quantify bone formation in the complex lattice structure of additive manufactured implants. Micro computed tomography (μCT) and histomorphometry were combined, integrating the best features from both, while demonstrating the limitations of each imaging modality. This semi-automatic methodology registered each modality using a coarse graining technique to speed the registration of 2D histology sections to high resolution 3D μCT datasets. Once registered, histomorphometric qualitative and quantitative bone descriptors were directly correlated to 3D quantitative bone descriptors, such as bone ingrowth and bone contact. The correlative imaging allowed the significant volumetric shrinkage of histology sections to be quantified for the first time (~15 %). This technique demonstrated the importance of location of the histological section, demonstrating that up to a 30 % offset can be introduced. The results were used to quantitatively demonstrate the effectiveness of 3D printed titanium lattice implants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10856-016-5721-6) contains supplementary material, which is available to authorized users. Springer US 2016-05-06 2016 /pmc/articles/PMC4859838/ /pubmed/27153828 http://dx.doi.org/10.1007/s10856-016-5721-6 Text en © The Author(s) 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.
spellingShingle Engineering and Nano-engineering Approaches for Medical Devices
Geng, Hua
Todd, Naomi M.
Devlin-Mullin, Aine
Poologasundarampillai, Gowsihan
Kim, Taek Bo
Madi, Kamel
Cartmell, Sarah
Mitchell, Christopher A.
Jones, Julian R.
Lee, Peter D.
A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
title A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
title_full A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
title_fullStr A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
title_full_unstemmed A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
title_short A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
title_sort correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants
topic Engineering and Nano-engineering Approaches for Medical Devices
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4859838/
https://www.ncbi.nlm.nih.gov/pubmed/27153828
http://dx.doi.org/10.1007/s10856-016-5721-6
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