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下一代虚拟膝关节的特定样本成像和关节力学测试数据。

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

作者信息

Chokhandre Snehal, Neumann Erica E, Nagle Tara F, Colbrunn Robb W, Flask Chris A, Colak Ceylan, Halloran Jason, Erdemir Ahmet

机构信息

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.

Computational Biomodeling (CoBi) Core, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States.

出版信息

Data Brief. 2021 Jan 30;35:106824. doi: 10.1016/j.dib.2021.106824. eCollection 2021 Apr.

Abstract

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.

摘要

具有特定标本解剖结构和力学特性的虚拟膝关节,需要在同一膝关节上收集异质性数据。诸如标本几何形状、生理关节运动学-动力学以及接触力学等特定标本数据,对于开发用于临床和科学模拟的虚拟膝关节标本而言是必不可少的。开发这些模型还需要这些数据来获取或评估模型表征关节和组织力学响应的预测能力。本文详细介绍了磁共振成像数据以及胫股关节和髌股关节力学测试数据的收集情况。这些数据是针对一组八个膝关节标本采集的,这些标本代表了不同的人群,具有不同的性别、年龄和关节健康状况。这些数据是作为“开放膝关节”计划的一部分收集的。成像数据与关节力学数据相结合,可能有助于开发和评估真实的特定标本膝关节有限元模型。这些数据还可能以特定标本的方式指导解剖学和生物力学标志物关联的前瞻性研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5d5/7890148/0c8edb18314d/gr1.jpg

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