Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Exploring breathing pattern irregularity with projection-based method.

Dan Ruan1, Jeffrey A Fessler, James M Balter

  • 1Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor 48109, USA. druan@umich.edu

Medical Physics
|August 11, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026
Same author

Free-Breathing Dynamic, Regularized, Adaptive Cluster Optimization (DRACO) Cine Cardiac MRI in Atrial Fibrillation.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Deep learning based 3D brain metastasis synthesis with configurable parameters for 3D data augmentation.

Scientific reports·2026
Same author

Survey of work-from-home experiences among medical physicists in Southern California during and after the COVID-19 pandemic.

Journal of applied clinical medical physics·2026
Same author

Hierarchical heated markov modeling for synthesizing activity data from wearable devices.

Computational and structural biotechnology journal·2026
Same author

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge.

IEEE transactions on medical imaging·2026
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

This study introduces a novel index to quantify respiratory motion irregularity for radiation therapy. The proposed method offers a more representative, flexible, and efficient approach for treatment planning.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Biomedical Engineering

Background:

  • Accurate modeling of organ motion during breathing is crucial for effective radiation therapy planning.
  • Existing methods for characterizing respiratory motion may lack representativeness or computational efficiency.

Purpose of the Study:

  • To propose and validate a new index for quantifying the irregularity of respiratory motion signals.
  • To assess the suitability of this index for various radiation treatment planning schemes.

Main Methods:

  • Developed an index based on fitting a periodic band-limited signal to respiratory motion data.
  • Calculated the root mean squared (RMS) residual error to quantify signal irregularity.
  • Correlated the proposed index with established metrics using clinical respiratory data (RPM, Varian) from twelve patients.

Related Experiment Videos

Main Results:

  • The proposed irregularity index showed a reasonable match with various treatment planning metrics.
  • The fitted periodic signal demonstrated potential utility in treatment planning.
  • The new method proved more representative, flexible, and computationally efficient than the modified cosine function model.

Conclusions:

  • The developed irregularity index is suitable for diverse radiation treatment planning methods.
  • This approach enhances the accuracy and efficiency of characterizing respiratory organ motion for radiotherapy.
  • The proposed method offers a significant improvement over previous breathing pattern models.