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Fully automated segmentation of callus by micro-CT compared to biomechanics

BACKGROUND: A high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such segmentat...

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Autores principales: Bissinger, Oliver, Götz, Carolin, Wolff, Klaus-Dietrich, Hapfelmeier, Alexander, Prodinger, Peter Michael, Tischer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5505011/
https://www.ncbi.nlm.nih.gov/pubmed/28697790
http://dx.doi.org/10.1186/s13018-017-0609-9
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author Bissinger, Oliver
Götz, Carolin
Wolff, Klaus-Dietrich
Hapfelmeier, Alexander
Prodinger, Peter Michael
Tischer, Thomas
author_facet Bissinger, Oliver
Götz, Carolin
Wolff, Klaus-Dietrich
Hapfelmeier, Alexander
Prodinger, Peter Michael
Tischer, Thomas
author_sort Bissinger, Oliver
collection PubMed
description BACKGROUND: A high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such segmentation is extremely laborious, time-consuming and error-prone. Our aim was to therefore apply a fully automated segmentation algorithm to determine μCT parameters and examine their association with biomechanics. METHODS: The femura of 64 rats taken after randomised inhibitory or neutral medication, in terms of the effect on fracture healing, and controls were closed fractured after a Kirschner wire was inserted. After 21 days, μCT and biomechanical parameters were determined by a fully automated method and correlated (Pearson’s correlation). RESULTS: The fully automated segmentation algorithm automatically detected bone and simultaneously separated cortical bone from callus without requiring ROI selection for each single bony structure. We found an association of structural callus parameters obtained by μCT to the biomechanical properties. However, results were only explicable by additionally considering the callus location. CONCLUSIONS: A large number of slightly comminuted fractures in combination with therapies that influence the callus qualitatively and/or quantitatively considerably affects the association between μCT and biomechanics. In the future, contrast-enhanced μCT imaging of the callus cartilage might provide more information to improve the non-destructive and non-invasive prediction of callus mechanical properties. As studies evaluating such important drugs increase, fully automated segmentation appears to be clinically important.
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spelling pubmed-55050112017-07-12 Fully automated segmentation of callus by micro-CT compared to biomechanics Bissinger, Oliver Götz, Carolin Wolff, Klaus-Dietrich Hapfelmeier, Alexander Prodinger, Peter Michael Tischer, Thomas J Orthop Surg Res Research Article BACKGROUND: A high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such segmentation is extremely laborious, time-consuming and error-prone. Our aim was to therefore apply a fully automated segmentation algorithm to determine μCT parameters and examine their association with biomechanics. METHODS: The femura of 64 rats taken after randomised inhibitory or neutral medication, in terms of the effect on fracture healing, and controls were closed fractured after a Kirschner wire was inserted. After 21 days, μCT and biomechanical parameters were determined by a fully automated method and correlated (Pearson’s correlation). RESULTS: The fully automated segmentation algorithm automatically detected bone and simultaneously separated cortical bone from callus without requiring ROI selection for each single bony structure. We found an association of structural callus parameters obtained by μCT to the biomechanical properties. However, results were only explicable by additionally considering the callus location. CONCLUSIONS: A large number of slightly comminuted fractures in combination with therapies that influence the callus qualitatively and/or quantitatively considerably affects the association between μCT and biomechanics. In the future, contrast-enhanced μCT imaging of the callus cartilage might provide more information to improve the non-destructive and non-invasive prediction of callus mechanical properties. As studies evaluating such important drugs increase, fully automated segmentation appears to be clinically important. BioMed Central 2017-07-11 /pmc/articles/PMC5505011/ /pubmed/28697790 http://dx.doi.org/10.1186/s13018-017-0609-9 Text en © The Author(s). 2017 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 Research Article
Bissinger, Oliver
Götz, Carolin
Wolff, Klaus-Dietrich
Hapfelmeier, Alexander
Prodinger, Peter Michael
Tischer, Thomas
Fully automated segmentation of callus by micro-CT compared to biomechanics
title Fully automated segmentation of callus by micro-CT compared to biomechanics
title_full Fully automated segmentation of callus by micro-CT compared to biomechanics
title_fullStr Fully automated segmentation of callus by micro-CT compared to biomechanics
title_full_unstemmed Fully automated segmentation of callus by micro-CT compared to biomechanics
title_short Fully automated segmentation of callus by micro-CT compared to biomechanics
title_sort fully automated segmentation of callus by micro-ct compared to biomechanics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5505011/
https://www.ncbi.nlm.nih.gov/pubmed/28697790
http://dx.doi.org/10.1186/s13018-017-0609-9
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