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Updated: May 26, 2026

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

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Multi-dimensional respiratory motion tracking from markerless optical surface imaging based on deformable mesh

Joël Schaerer1, Aurora Fassi, Marco Riboldi

  • 1CREATIS, CNRS UMR 5220, INSERM U1044, Université Lyon 1, INSA-Lyon, Villeurbanne, France.

Physics in Medicine and Biology
|December 16, 2011
PubMed
Summary

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Evaluation of a quasi-automatic treatment planning workflow for head-and-neck cancer in radiotherapy.

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This study introduces a novel deformable mesh registration method for markerless optical imaging. This technique accurately tracks breathing motion on the thorax surface, improving radiation therapy.

Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Biomedical Engineering

Background:

  • Real-time optical surface imaging monitors patient thorax motion during radiotherapy.
  • Current systems lack point correspondence for 3D motion tracking at specific landmarks.
  • Marker-based optical technologies offer landmark tracking but are invasive.

Purpose of the Study:

  • To apply deformable mesh registration for extracting surface point trajectories from markerless optical imaging.
  • To develop multi-dimensional breathing traces from non-invasive optical surface acquisitions.
  • To improve respiratory motion management in radiation therapy.

Main Methods:

  • Utilized a non-rigid extension of the iterative closest point algorithm with locally affine regularization.

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Last Updated: May 26, 2026

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

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  • Applied pair-wise registration of thoraco-abdominal surfaces from three respiratory phases in healthy volunteers.
  • Quantified motion tracking accuracy using a clinically available optical system.

    • Main Results:

    • Successfully recovered multi-dimensional breathing motion from markerless optical surface data.
    • Achieved maximal motion tracking accuracy in the abdominal region, with average errors of 1.09 mm.
    • Demonstrated the feasibility of the deformable registration algorithm for breathing motion analysis.

    Conclusions:

    • The deformable mesh registration approach enables accurate, markerless 3D motion tracking of the thorax surface.
    • This method can enhance radiation therapy by reducing motion artifacts and improving tumor motion compensation.
    • Potential for improved internal/external correlation models in respiratory motion management.