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Related Experiment Video

Updated: May 22, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Statistical shape model-based femur kinematics from biplane fluoroscopy.

N Baka1, M de Bruijne, T van Walsum

  • 1Department of Medical Informatics, University Medical Center Rotterdam, Rotterdam, The Netherlands. n.baka@erasmusmc.nl

IEEE Transactions on Medical Imaging
|May 2, 2012
PubMed
Summary

This study introduces a new method for tracking bone movement using statistical shape models, improving accuracy and reducing costs for joint kinematics analysis in medical imaging.

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Computer Vision

Background:

  • Joint kinematics analysis is crucial for prosthesis design and postoperative motion assessment.
  • Current methods rely on 3D imaging (CT/MRI) and X-ray fluoroscopy, increasing costs and radiation exposure.
  • Eliminating the need for prior 3D scans could significantly benefit clinical workflows.

Purpose of the Study:

  • To develop and evaluate a novel dynamic reconstruction and tracking algorithm for joint kinematics.
  • To replace segmented bone surfaces from prior 3D scans with statistical shape model estimates.
  • To enable accurate bone tracking and shape reconstruction from X-ray fluoroscopy alone.

Main Methods:

  • A dynamic reconstruction and tracking algorithm was developed, estimating bone shape and pose from fluoroscopic sequences.

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Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

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Last Updated: May 22, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
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Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

  • The algorithm minimizes projected bone contour differences with image edges, incorporating dynamic priors and learned features.
  • The method was evaluated on distal femur tracking using biplane fluoroscopic drop-landing sequences.

    • Main Results:

    • The proposed dynamic prior and features improved reconstruction convergence rate from 71% to 91% (3 mm limit).
    • Achieved root mean square point-to-surface accuracy was 1.48 ± 0.41 mm at converged frames.
    • Tracking precision was 1-1.5 mm, with rotational errors around the femoral shaft at approximately 2.5°.

    Conclusions:

    • The novel algorithm effectively tracks and reconstructs bone shape from X-ray fluoroscopy, eliminating the need for prior 3D imaging.
    • This approach offers a cost-effective and lower-radiation alternative for joint kinematics studies.
    • The method demonstrates high accuracy and improved convergence, advancing prosthesis design and clinical motion analysis.