Validation of Subject-Specific Knee Models from In Vivo Measurements
Thor E. Andreassen, Donald R. Hume, Landon D. Hamilton, Stormy L. Hegg, Sean E. Higinbotham, Kevin B. Shelburne

TL;DR
This study demonstrates that subject-specific knee models calibrated with in vivo measurements can achieve accuracy comparable to in vitro models, supporting their use in personalized digital twin development.
Contribution
It shows that in vivo data can effectively calibrate knee models, matching the accuracy of traditional in vitro calibration methods.
Findings
Model predictions of laxity tests differed by less than 2.5 mm.
Pivot shift predictions differed by less than 3 degrees or 3 mm.
In vivo calibration methods are sufficient for accurate knee modeling.
Abstract
Calibration to experimental data is vital when developing subject-specific models towards developing digital twins. Yet, to date, subject-specific models are largely based on cadaveric testing, as in vivo data to calibrate against has been difficult to obtain until recently. To support our overall goal of building subject-specific models of the living knee, we aimed to show that subject-specific computational models built and calibrated using in vivo measurements would have accuracy comparable to models built using in vitro measurements. Two knee specimens were imaged using a combination of computed tomography (CT), and surface scans. Knee laxity measurements were made with a custom apparatus used for the living knee and from a robotic knee simulator. Models of the knees were built using the CT geometry and surface scans, and then calibrated with either laxity data from the robotic knee…
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Taxonomy
TopicsTotal Knee Arthroplasty Outcomes · Knee injuries and reconstruction techniques · Muscle activation and electromyography studies
