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

A Monte Carlo dose calculation algorithm for proton therapy.

Matthias Fippel1, Martin Soukup

  • 1Abteilung für Medizinische Physik, Universitätsklinikum Tübingen, Hoppe-Seyler-Str 3, 72076 Tübingen, Germany. msfippel@med.uni-tuebingen.de

Medical Physics
|September 21, 2004
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

Advancing proton therapy: Dosimetric superiority of proton arc therapy over IMPT in esophageal cancer treatment.

Journal of applied clinical medical physics·2026
Same author

Commissioning and clinical implementation of Monaco treatment planning system on a compact pencil beam scanning proton therapy system.

Journal of applied clinical medical physics·2026
Same author

Investigate potential clinical benefits and linear energy transfer sparing utilizing proton arc therapy for hepatocellular carcinoma.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2024
Same author

Particle arc therapy: Status and potential.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2024
Same author

The method of long-term catheterization of the vena jugularis in pigs.

Journal of pharmacological and toxicological methods·2019
Same author

Brush head composition, wear profile, and cleaning efficacy: an assessment of three electric brush heads using in vitro methods.

The Journal of clinical dentistry·2014
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

A new Monte Carlo (MC) code, VMCpro, accelerates cancer treatment planning in proton beam therapy. It provides accurate dose distributions comparable to existing methods, enhancing clinical efficiency.

Area of Science:

  • Medical Physics
  • Computational Biology
  • Radiotherapy

Background:

  • Proton beam therapy requires accurate dose calculations for effective cancer treatment.
  • Existing Monte Carlo (MC) simulation codes can be computationally intensive, limiting their clinical application.
  • Optimizing MC algorithms is crucial for improving the speed and efficiency of treatment planning.

Purpose of the Study:

  • To introduce VMCpro, a novel MC code designed for proton beam therapy treatment planning.
  • To describe the implementation of electromagnetic and nuclear interactions within VMCpro.
  • To evaluate the speed and accuracy of VMCpro compared to established MC codes.

Main Methods:

  • VMCpro utilizes a Voxel Monte Carlo algorithm adapted for proton interactions in human tissue.

Related Experiment Videos

  • It incorporates a Class II condensed history algorithm to model continuous energy loss, ionization, and scattering.
  • Electromagnetic and nuclear interactions, including proton nucleus scattering and reactions, are implemented.

    • Main Results:

    • VMCpro demonstrates significant speed improvements: 13x faster than FLUKA and 35x faster than GEANT4 in phantom simulations.
    • Speed advantage increases in patient dose calculations due to weak dependency on grid heterogeneity.
    • Dose distributions calculated by VMCpro show agreement with GEANT4, with deviations within 1% or 0.5 mm in high-gradient regions.

    Conclusions:

    • VMCpro offers a computationally efficient and accurate solution for proton beam therapy treatment planning.
    • The code's speed and accuracy make it a viable tool for clinical applications.
    • VMCpro has the potential to enhance the workflow and precision of proton therapy.