DFIS to Tibiofemoral joint

Title: In vivo tibiofemoral joint kinematics under trunk loading during walking and running
Overview​
This dataset presents biomechanical data quantifying the effects of additional trunk loading (20% body weight)​ on in vivo tibiofemoral joint kinematics​ during walking (3.6 km/h) and running (10.8 km/h) in healthy adults. The study combined dual fluoroscopic imaging system (DFIS)​ and MRI-based 3D bone modeling​ to achieve sub-millimeter accuracy in joint motion tracking.
Key Features​
Data Acquisition:
Participants: 26 healthy adults (13 males, 13 females; age: 24.3 ± 2.8 years; BMI: 22.1 ± 1.8 kg/m²).
Equipment:
MRI: 3.0T Siemens scanner (1mm isotropic resolution, T1-weighted sequences).
DFIS: High-speed biplane X-ray system (100 fps, 1024×1024 pixels, 60 kVp/63 mA/1ms exposure).
Protocol: Repeated-measures design with four conditions:
Walking/Running under non-weight-bearing (NWB)​ and loaded (WB +20% BW)​ conditions.
Data Content:
Kinematic Parameters: Six degrees-of-freedom (6DOF) tibiofemoral joint motion, including:
Sagittal plane: Flexion-extension angles.
Frontal plane: Internal/external rotation angles.
Transverse plane: Adduction/abduction angles.
3D Translations: Anterior-posterior, medial-lateral, and superior-inferior displacements.
Critical Timepoints: Peak kinematics at heel strike​ and mid-stance​ phases.
Statistical Analysis:
Two-way repeated-measures ANOVA (speed × loading) with effect size (partial η²) and reliability (ICC).
Example findings:
Flexion angles: Significantly increased under WB during running (peak: 24.3° ± 10.8°, p< 0.01).
Internal rotation: WB amplified internal rotation during running (peak: -7.5° ± 8.1°, p< 0.001).
Posterior translation: WB + running increased posterior displacement (-4.6 mm ± 4.4 mm, p< 0.001).
Data Storage:
Raw Data: DICOM MRI images, DFIS video files, and 3D bone models (stored on institutional servers; DOI pending).
Code/Tools: MATLAB scripts for 2D-3D registration, SPSS code for statistical analysis.
Ethics: Approved by Shanghai University of Sport Ethics Committee (pending approval number).

数据集标题：行走与跑步过程中躯干负重状态下的体内胫股关节运动学

概述：本数据集提供生物力学数据，量化健康成年人在行走（3.6 km/h）与跑步（10.8 km/h）时，额外躯干负重（体重的20%）对体内胫股关节运动学的影响。本研究结合双透视成像系统（dual fluoroscopic imaging system, DFIS）与基于磁共振成像（Magnetic Resonance Imaging, MRI）的三维骨骼建模技术，实现关节运动追踪的亚毫米级精度。

核心特性

数据采集
受试对象：26名健康成年人（13名男性，13名女性；年龄：24.3 ± 2.8岁；身体质量指数（Body Mass Index, BMI）：22.1 ± 1.8 kg/m²）。

实验设备
磁共振成像设备：3.0T西门子扫描仪（各向同性分辨率1mm，采用T1加权序列）。
双透视成像系统（dual fluoroscopic imaging system, DFIS）：高速双平面X射线系统（帧率100 fps，分辨率1024×1024像素，曝光参数60 kVp/63 mA/1ms）。

实验方案：采用重复测量设计，包含4种实验条件：非负重（non-weight-bearing, NWB）与负重（weight-bearing, WB +20%体质量）状态下的行走/跑步任务。

数据内容
运动学参数：包含6个自由度（six degrees-of-freedom, 6DOF）的胫股关节运动数据，具体包括：
- 矢状面：屈伸角度
- 冠状面：内/外旋角度
- 横断面：内收/外展角度
- 三维位移：前后、内外侧及上下方向的位移量
关键时间节点：足跟触地与支撑中期阶段的运动学峰值数据。

统计分析：采用两因素重复测量方差分析（速度×负重），同时报告效应量（partial η²）与信度（Intraclass Correlation Coefficient, ICC）。

示例研究结果：
- 屈伸角度：跑步状态下负重组的屈伸角度显著升高（峰值：24.3° ± 10.8°，p< 0.01）。
- 内旋角度：跑步状态下负重组的内旋程度显著增强（峰值：-7.5° ± 8.1°，p< 0.001）。
- 后向位移：跑步+负重组的后向位移显著增加（-4.6 mm ± 4.4 mm，p< 0.001）。

数据存储
原始数据：DICOM格式磁共振图像、双透视成像系统视频文件及三维骨骼模型（存储于机构服务器，数字对象标识符DOI待分配）。
代码与工具：用于2D-3D配准的MATLAB脚本，以及用于统计分析的SPSS代码。

伦理审批：本研究已通过上海体育学院（Shanghai University of Sport）伦理委员会审批（审批编号待分配）。