Specimen specific imaging and joint mechanical testing data for next generation virtual knees

Autor: Robb Colbrunn, Erica E. Neumann, Snehal Chokhandre, Jason P. Halloran, Ceylan Colak, Christopher A Flask, Ahmet Erdemir, Tara F. Nagle
Rok vydání: 2021
Předmět:
Zdroj: Data in Brief, Vol 35, Iss, Pp 106824-(2021)
Data in Brief
ISSN: 2352-3409
Popis: Virtual knees, with specimen-specific anatomy and mechanics, require heterogeneous data collected on the same knee. Specimen-specific data such as the specimen geometry, physiological joint kinematics-kinetics and contact mechanics are necessary in the development of virtual knee specimens for clinical and scientific simulations. These data are also required to capture or evaluate the predictive capacity of the model to represent joint and tissue mechanical response. This document details the collection of magnetic resonance imaging data and, tibiofemoral joint and patellofemoral joint mechanical testing data. These data were acquired for a cohort of eight knee specimens representing different populations with varying gender, age and perceived health of the joint. These data were collected as part of the Open Knee(s) initiative. Imaging data when combined with joint mechanics data, may enable development and assessment of authentic specimen-specific finite element models of the knee. The data may also guide prospective studies for association of anatomical and biomechanical markers in a specimen-specific manner.
Databáze: OpenAIRE