Evaluation of Cortical Bone Microstructure’s Effects on Bone Strength via the Generation of Virtual Bone Scans
Advisor(s)
Dr. Joshua Gargac
Confirmation
1
Document Type
Poster
Location
ONU McIntosh Center; Activities Room
Start Date
11-4-2025 10:00 AM
End Date
11-4-2025 10:50 AM
Abstract
The microstructural properties and cortical porosity of cortical bone are large contributors to the overall bone strength. Evaluating this contribution, however, can be difficult due to the complexity of controlling changes to pore structure in human or animal samples. This research was in the development of a computer program that is able to generate three-dimensional models of micron-scale cortical bone. A wide array of variable input parameters allows for the generation of samples with similarity to micro-CT scans of cortical bone or with specific geometric features, depending on the values used. A finite element model is also presented to demonstrate the similarities between generated and natural samples. This program aims to help provide a better understanding of how cortical bone microstructure contributes to overall bone strength, which could have major applications in future biomechanical design.
Recommended Citation
Toth, Zachary B., "Evaluation of Cortical Bone Microstructure’s Effects on Bone Strength via the Generation of Virtual Bone Scans" (2025). ONU Student Research Colloquium. 22.
https://digitalcommons.onu.edu/student_research_colloquium/2025/Posters/22
Open Access
Available to all.
Evaluation of Cortical Bone Microstructure’s Effects on Bone Strength via the Generation of Virtual Bone Scans
ONU McIntosh Center; Activities Room
The microstructural properties and cortical porosity of cortical bone are large contributors to the overall bone strength. Evaluating this contribution, however, can be difficult due to the complexity of controlling changes to pore structure in human or animal samples. This research was in the development of a computer program that is able to generate three-dimensional models of micron-scale cortical bone. A wide array of variable input parameters allows for the generation of samples with similarity to micro-CT scans of cortical bone or with specific geometric features, depending on the values used. A finite element model is also presented to demonstrate the similarities between generated and natural samples. This program aims to help provide a better understanding of how cortical bone microstructure contributes to overall bone strength, which could have major applications in future biomechanical design.