Related Experiment Video
Updated: Jan 22, 2026
07:59
Intermediate Strain Rate Material Characterization with Digital Image Correlation
Published on: March 1, 2019
7.6K
Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume
Nikolas K Knowles1,2,3,4, Jonathan Kusins5,6,7, Mohammadreza Faieghi8
1School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada. nknowle@uwo.ca.
Annals of Biomedical Engineering
|July 13, 2019
Summary
Finite element models (FEMs) of scapulae require accurate density-modulus relationships. This study compared quantitative CT-derived FEMs with experimental data, finding both elemental and nodal mapping strategies effective, with accuracy dependent on the chosen relationships.
Area of Science:
- Biomechanics
- Medical Imaging
- Computational Modeling
Background:
- Finite element models (FEMs) enhance understanding of bone mechanics.
- Quantitative CT (QCT) data is crucial for subject-specific FEMs.
- The impact of density-modulus relationships on scapula FEM accuracy is understudied.
Purpose of the Study:
- To experimentally evaluate various density-modulus relationships and material mapping strategies for QCT-derived scapula FEMs.
- To compare QCT-FEM predictions against mechanical testing of cadaveric scapulae.
Main Methods:
- Six cadaveric scapulae were mechanically loaded within a micro-CT scanner.
- Digital volume correlation (DVC) estimated full-field displacements.
- QCT-FEMs were created using DVC-driven boundary conditions and 15 density-modulus relationships with elemental or nodal mapping.
Main Results:
- FEMs accurately replicated experimental full-field displacements (r-squared 0.82-1.00).
- Elemental and nodal mapping strategies yielded similar displacement prediction results.
- Reaction force prediction errors varied widely (-46% to 965%), but specimen-specific errors were as low as 3%.
Conclusions:
- Both elemental and nodal material mapping strategies can replicate experimental displacements and reaction forces in scapula FEMs.
- The accuracy of QCT-FEMs is significantly influenced by the chosen density-modulus relationship.
- This study provides experimental validation for QCT-FEMs in whole-bone scapular biomechanics.
Related Concept Videos
02:20Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
01:27Correlation and Causation
42.2K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.2K
01:26Pharmacokinetic Models: Comparison and Selection Criterion
351
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
351
01:09Correlation
14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K
02:57The Sense of Self: Reflected Self-Appraisal and Social Comparison
55.5K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
55.5K
01:13Multiple Comparison Tests
4.4K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.4K