Using Micro-CT Derived Bone Microarchitecture to Analyze Bone Stiffness – A Case Study on Osteoporosis Rat Bone Article Swipe
Yuchin Wu
,
Samer Adeeb
,
Michael R. Doschak
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.3389/fendo.2015.00080
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.3389/fendo.2015.00080
Micro-computed tomography (Micro-CT) images can be used to quantitatively represent bone geometry through a range of computed attenuation-based parameters. Nonetheless, those parameters remain indirect indices of bone microarchitectural strength and require further computational tools to interpret bone structural stiffness and potential for mechanical failure. Finite element analysis (FEA) can be applied to measure trabecular bone stiffness and potentially predict the location of structural failure in preclinical animal models of osteoporosis, although that procedure from image segmentation of Micro-CT derived bone geometry to FEA is often challenging and computationally expensive, resulting in failure of the model to build. Notably, the selection of resolution and threshold for bone segmentation are key steps that greatly affect computational complexity and validity. In the following study, we evaluated an approach whereby Micro-CT derived grayscale attenuation and segmentation data guided the selection of trabecular bone for analysis by FEA. We further correlated those FEA results to both two- and three-dimensional bone microarchitecture from sham and ovariectomized (OVX) rats (n = 10/group). A virtual cylinder of vertebral trabecular bone 40% in length from the caudal side was selected for FEA, because Micro-CT based image analysis indicated the largest differences in microarchitecture between the two groups resided there. Bone stiffness was calculated using FEA and statistically correlated with the three-dimensional values of bone volume/tissue volume, bone mineral density, fractal dimension, trabecular separation, and trabecular bone pattern factor. Our method simplified the process for the assessment of trabecular bone stiffness by FEA from Micro-CT images and highlighted the importance of bone microarchitecture in conferring significantly increased bone quality capable of resisting failure due to increased mechanical loading.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fendo.2015.00080
- https://www.frontiersin.org/articles/10.3389/fendo.2015.00080/pdf
- OA Status
- gold
- Cited By
- 45
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W1576107635
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W1576107635Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fendo.2015.00080Digital Object Identifier
- Title
-
Using Micro-CT Derived Bone Microarchitecture to Analyze Bone Stiffness – A Case Study on Osteoporosis Rat BoneWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-05-20Full publication date if available
- Authors
-
Yuchin Wu, Samer Adeeb, Michael R. DoschakList of authors in order
- Landing page
-
https://doi.org/10.3389/fendo.2015.00080Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fendo.2015.00080/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fendo.2015.00080/pdfDirect OA link when available
- Concepts
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Osteoporosis, Finite element method, Stiffness, Bone mineral, Biomedical engineering, Materials science, Quantitative computed tomography, Fractal dimension, Structural engineering, Fractal, Medicine, Mathematics, Pathology, Engineering, Composite material, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
45Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 4, 2023: 6, 2022: 6, 2021: 6Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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