Subject-specific knee models, data, and results for specimen S192803
Creators
- 1. University of Denver
Description
This dataset is part of an ongoing manuscript to validate that sources of data from currently available in vivo methods are sufficient to create computational models of the knee compared with existing in vitro techniques. The data included in this repository is for the S192803 specimen of that dataset and includes experimental data, working models, code, and results obtained for that model and used in that manuscript.
Notes
Funding provided by: National Institute of Arthritis and Musculoskeletal and Skin Diseases
Crossref Funder Registry ID: https://ror.org/006zn3t30
Award Number: U01 AR072989
Funding provided by: National Institute of Biomedical Imaging and Bioengineering
Crossref Funder Registry ID: https://ror.org/00372qc85
Award Number: U01 AR072989
Funding provided by: Eunice Kennedy Shriver National Institute of Child Health and Human Development
Crossref Funder Registry ID: https://ror.org/04byxyr05
Award Number: U01 AR072989
Methods
The data was collected using a process described in the full paper, but combined fluoroscopic tracking of biplanar images, motion capture, 6DOF force and kinematics from a robotic joint tester, laxity measurements from a custom apparatus, CT, MRI and surface scan imaging data. The data was processed using a combination of DSX, MATLAB, ScanIP, Hypermesh, MeshLab, MeshMixer, Vicon Nexus, and Abaqus.
Files
Processing_Code.zip
Files
(83.9 MB)
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