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

Photon-beam subsource sensitivity to the initial electron-beam parameters.

Michael K Fix1, Paul J Keall, Jeffrey V Siebers

  • 1Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, Virginia 23298, USA.

Medical Physics
|May 18, 2005
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

Macro Monte Carlo dose calculation for very high energy electron (VHEE) radiotherapy.

Medical physics·2026
Same author

Investigating the impact of key algorithm parameters and patient-specific factors on the accuracy of CT ventilation imaging.

Journal of applied clinical medical physics·2026
Same author

MRI-guided radiotherapy: is the best still to come?

Physics in medicine and biology·2026
Same author

Robust optimized dynamic mixed-beam arc radiotherapy for left-sided breast radiotherapy under deep inspiration breath-hold variations.

Physics in medicine and biology·2026
Same author

The first experimental implementation of real-time dose-guided MLC tracking using an MRI-linac.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026
Same author

Treatment planning comparison of focused very high energy electron and volumetric modulated arc therapy.

Physics and imaging in radiation oncology·2026

Accurate Monte Carlo (MC) source models for radiotherapy require understanding electron beam variations. Adjusting the target subsource and scaling others is key for precise photon beam modeling.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Modeling

Background:

  • Monte Carlo (MC) patient dose-calculation algorithms are crucial for radiotherapy.
  • A significant limitation is the absence of accurate accelerator radiation source models.
  • Developing precise source models is essential for widespread MC algorithm implementation.

Purpose of the Study:

  • To investigate the sensitivity of photon-beam subsource distributions within an MC source model.
  • To analyze how changes in initial electron energy and radial distributions affect these subsources.
  • To provide guidance for refining MC source models for radiotherapy applications.

Main Methods:

  • Calculated phase-space data (PSD) for varying electron energies and radial distributions.

Related Experiment Videos

  • Analyzed PSD in terms of energy, fluence, and energy fluence distributions.
  • Compared distributions across different parameter sets for 6- and 18-MV photon beams.
  • Main Results:

    • Electron energy spread had a negligible impact on subsource distributions.
    • Mean electron energy and radial intensity significantly altered target subsource characteristics.
    • Primary collimator and flattening filter subsources showed minor shape changes but altered relative intensities.

    Conclusions:

    • MC source model adjustments can focus on the target subsource.
    • Scaling relative intensities and energy spectra of other subsources is effective.
    • This approach optimizes MC source models for varying initial electron beam conditions.