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).