Subject-specific knee models, data, and results for specimen S193761

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 S193761 specimen of that dataset and includes experimental data, working models, code, and results obtained for that model and used in that manuscript., 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., , # Knee Model Data Validation for Specimen 193761 - Experimental Data, Models, Code, and Results

[https://doi.org/10.5061/dryad.zkh1893gw](https://doi.org/10.5061/dryad.zkh1893gw)

This dataset contains experimental data, models, code, and results for the S193761 specimen data. This dataset is one of two model datasets used in the paper Validation of Subject-Specific Knee Models from In Vivo Measurements, which is in review at the Journal of Biomechanical Engineering. The dataset contained herein is derived from the experimental data collected during a previous publication in the Journal of Medical Devices, entitled: \"Apparatus for In Vivo Knee Laxity Assessment Using High-Speed Stereo Radiography\". Available at: [https://doi.org/10.1115/1.4051834](https://doi.org/10.1115/1.4051834Another)

A similar dataset exists for the other specimen, S192803 available at:

[www.doi.org/10.5061/dryad.zkh1893gw](http://www.doi.org/10.5061/dryad.zkh1893gw)

Work was created by Dr. Thor E. Andreassen, ...,

本数据集隶属于一篇正在撰写的手稿，旨在验证相较于现有离体（in vitro）实验技术，当前可获取的在体（in vivo）实验方法所采集的数据源，足以用于构建膝关节计算模型。本仓库收录的数据集对应该总数据集里的S193761标本，包含该手稿中所使用的实验数据、可用模型、代码以及模型相关的计算结果。

本数据集的数据采集流程详见完整论文，涵盖双平面图像透视跟踪、运动捕捉、机器人关节测试装置采集的六维力与运动学数据、定制装置获取的关节松弛度测量数据，以及计算机断层扫描（CT）、磁共振成像（MRI）和表面扫描成像数据。数据集处理综合使用了DSX、MATLAB、ScanIP、Hypermesh、MeshLab、MeshMixer、Vicon Nexus与Abaqus工具。

# 标本S193761的膝关节模型数据验证——实验数据、模型、代码与结果
[https://doi.org/10.5061/dryad.zkh1893gw](https://doi.org/10.5061/dryad.zkh1893gw)

本数据集包含S193761标本相关的实验数据、模型、代码及计算结果。本数据集是发表于《生物医学工程期刊》（Journal of Biomechanical Engineering）、目前处于审稿阶段的论文《基于在体测量的受试者特异性膝关节模型验证》中使用的两类模型数据集之一。

本数据集的实验数据源自此前发表于《医疗设备期刊》（Journal of Medical Devices）的论文《基于高速立体射线成像的在体膝关节松弛度评估装置》，原文链接：[https://doi.org/10.1115/1.4051834](https://doi.org/10.1115/1.4051834)。

另一标本S192803的同类数据集可通过以下链接获取：[www.doi.org/10.5061/dryad.zkh1893gw](http://www.doi.org/10.5061/dryad.zkh1893gw)。

本数据集由Thor E. Andreassen博士等人完成。