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Plantar pressure predictions from barefoot, shod, and shod with insole simulations using simplified models were compared to those obtained from CT-based FE models incorporating more detailed representations of bone and tissue geometry.
To describe anatomical norms and pathological differences for the population, statistical shape modeling, which uses full three-dimensional representations of bone morphology and relative alignment, can capture intersubject variability and enable comparative evaluations of subject to population.
It has also been used to obtain three-dimensional high resolution representations of bone structure [ 75].
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μCT provides three-dimensional (3D) representations of bones and is now available at various resolutions [25].
The magnitude of baseplate motion occurring in a modeled representation of bone under simulated physiologic loading conditions was similar for the 7 reverse shoulder glenoid components tested in this study.
Variables selected were considered an appropriate representation of bone geometry (area), bone material (density), and bone strength (strength strain index).
This differs from other studies that have sampled a wider representation of bones within the skeleton and have shown more variation within multiple elements of single individual [ 7, 16, 39, 42].
The statistical model included representations of the bone and cartilage for the femur, tibia and patella from magnetic resonance images and relative alignment of the structures at a known, loaded position in an experimental knee simulator for a training set of 20 specimens.
Finally, the individual ROIs for each bone were compiled together to create 3D representations of the bones of interest.
The objective of this study is to present a method to generate CAD representations of long bones from clinically based CT scans.
Each micro-CT scan was analyzed by applying a segmentation algorithm to individual slices in each image set to provide 3-dimensional representations of specific bones including the humerus, femur, and tibia.
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