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 |
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Rok vydání: | 2021 |
Předmět: |
musculoskeletal diseases
Science (General) Computer science Computer applications to medicine. Medical informatics R858-859.7 Patellofemoral joint Mechanics Imaging data Human knee Q1-390 03 medical and health sciences 0302 clinical medicine Joint mechanics medicine Joint (geology) Data Article 030304 developmental biology Orthodontics 0303 health sciences Multidisciplinary medicine.diagnostic_test Magnetic resonance imaging Contact mechanics Specimen-specific 030217 neurology & neurosurgery Tibiofemoral joint Finite element model MRI Test data |
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 |
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