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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Dual fluoroscopy accurately captures in vivo dynamic motion of human joints, which can be visualized relative to reconstructed anatomy (e.g., arthrokinematics). Herein, a detailed protocol to quantify hip arthrokinematics during weight-bearing activities of daily living is presented, including the integration of dual fluoroscopy with traditional skin marker motion capture.

Abstract

Several hip pathologies have been attributed to abnormal morphology with an underlying assumption of aberrant biomechanics. However, structure-function relationships at the joint level remain challenging to quantify due to difficulties in accurately measuring dynamic joint motion. The soft tissue artifact errors inherent in optical skin marker motion capture are exacerbated by the depth of the hip joint within the body and the large mass of soft tissue surrounding the joint. Thus, the complex relationship between bone shape and hip joint kinematics is more difficult to study accurately than in other joints. Herein, a protocol incorporating computed tomography (CT) arthrography, three-dimensional (3D) reconstruction of volumetric images, dual fluoroscopy, and optical motion capture to accurately measure the dynamic motion of the hip joint is presented. The technical and clinical studies that have applied dual fluoroscopy to study form-function relationships of the hip using this protocol are summarized, and the specific steps and future considerations for data acquisition, processing, and analysis are described.

Introduction

The number of total hip arthroplasty (THA) procedures performed on adults aged 45-64 years suffering from hip osteoarthritis (OA) more than doubled between 2000 and 20101. Based on the increases in THA procedures from 2000 to 2014, a recent study predicted that the overall number of yearly procedures may triple over the next twenty years2. These large increases in THA procedures are alarming considering that current treatment costs exceed $18 billion annually in the United States alone3.

Developmental dysplasia of the hip (DDH) and femoroacetabular impingement syndrome ....

Protocol

Procedures outlined in this protocol were approved by the University of Utah Institutional Review Board.

1. CT arthrogram imaging

  1. Arthrogram18
    1. Schedule a trained musculoskeletal radiologist to perform the arthrogram directly prior to the scheduled CT imaging.
    2. Position the participant on the table with the hip of interest in the field of view of a clinical fluoroscope. Place sandbags on either side of the ankle to prevent rotation of th.......

Representative Results

Using dual fluoroscopy as a reference standard, the accuracy of skin-marker-based estimates of the hip joint center and the effect of soft-tissue artifact on kinematic and kinetic measurements were quantified22,23,24. The superior accuracy of dual fluoroscopy was then used to identify subtle differences in pelvic and hip joint kinematics between patients with FAIS and asymptomatic control participants25. .......

Discussion

Dual fluoroscopy is a powerful tool for the investigation of in vivo kinematics, especially for the hip, which is difficult to accurately measure using traditional optical motion capture. However, fluoroscopy equipment is specialized, wherein a unique system setup may be required when imaging other joints of the human body. For example, several modifications were made to the mounting of the image intensifiers, positioning of the system, and settings of the beam energy in the application of dual fluoroscopy to th.......

Acknowledgements

This research was supported by the National Institutes of Health (NIH) under grant numbers S10 RR026565, R21 AR063844, F32 AR067075, R01 R077636, R56 AR074416, R01 GM083925. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

....

Materials

NameCompanyCatalog NumberComments
Amira SoftwareThermoFisher ScientificVersion 6.0
Calibration CubeCustom36 steel beads (3 mm diameter, spacing 6.35 cm, uncertainty 0.0036 mm)
Calibration WandViconActive Wand
CT ScannerSiemens AGSOMATOM Definition 128 CT
Distortion Correction GridCustomAcrylic plate with a grid of steel beads spaced 10 mm and 31 beads across the diameter (2 mm diameter)
Dynamic Calibration PlateCustomAcrylic plate with 3 steel beads spaced 30 mm (2 mm diameter, uncertainty 0.0013 mm)
Emitter (2)Varian Interay; remanufactured by Radiological Imaging ServicesHousing B-100/Tube A-142
EpinephrineHospiraInjection, USP 10 mg/mL
FEBioStudio SoftwareFEBio.orgVersion 1.3Mesh processing and kinematic visualization
Graphical Processing UnitNvidiaTesla
Hare Traction SplintDynaMedTrac-III, Model No. 95201
High-speed Camera (2)Vision Research, Inc.Phantom Micro 3
Image Intensifier (2)Dunlee, Inc.; remanufactured by Radiological Imaging ServicesT12964P/S
Iohexol injectionGE HealthcareOmnipaque 240 mgI/mL517.7 mg iohexol, 1.21 mg tromethamine, 0.1 mg edetate calcium disodium per mL
ImageJNational Institutes of Health and Laboratory for Optical and Computational Instrumentation
Lidocaine HClHospiraInjection, USP 10 mg/mL
Laser and Mirror Alignment SystemCustomThree lasers adhered to acrylic plate that attaches to emitter, mirror attaches to face of image intensifier
Markless Tracking WorkbenchHenry Ford Hospital, Custom SoftwareCustom
MATLAB SoftwareMathworks, Inc.Version R2017b
Motion Capture Camera (10)ViconVantage
Nexus SoftwareViconVersion 2.8Motion capture
Phantom Camera Control (PCC) SoftwareVision Research, Inc.Version 1.3
Pre-tape Spray GlueMueller Sport CareTuffner
Retroreflective Spherical Skin Markers14 mm
Split Belt Fully Instrumented TreadmillBertec CorporationCustom
Visual3D SoftwareC-Motion Inc.Version 6.01Kinematic processing

References

  1. National Center for Health Statistics (US). Health, United States, 2016: with chartbook on long-term trends in health. National Center for Health Statistics. , (2016).
  2. Singh, J. A., Yu, S., Chen, L., Cleveland, J. D.

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