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 CT-based Monte Carlo simulation tool for dosimetry planning and analysis

J J DeMarco1, T D Solberg, J B Smathers

  • 1Jonsson Comprehensive Cancer Center, Department of Radiation Oncology, University of California Los Angeles, 90024-6951, USA. demarco@radonc.ucla.edu

Medical Physics
|February 24, 1998
PubMed
Summary

This study optimizes the Monte Carlo N-Particle (MCNP4A) code for faster 3D simulations in medical dosimetry. Specialized patches significantly accelerate photon transport and dose scoring, improving computational efficiency for treatment planning.

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

Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.

International journal of radiation oncology, biology, physics·2020
Same author

A mathematical framework for virtual IMRT QA using machine learning.

Medical physics·2016
Same author

Dosimetric characterization of an image-guided stereotactic small animal irradiator.

Physics in medicine and biology·2011
Same author

An x-ray image guidance system for small animal stereotactic irradiation.

Physics in medicine and biology·2010
Same author

Estimating radiation doses from multidetector CT using Monte Carlo simulations: effects of different size voxelized patient models on magnitudes of organ and effective dose.

Physics in medicine and biology·2007
Same author

Stereotactic radiotherapy for the treatment of pituitary adenomas.

Minimally invasive neurosurgery : MIN·2006

Area of Science:

  • Medical Physics
  • Computational Physics
  • Radiation Dosimetry

Background:

  • The Los Alamos code MCNP4A is a versatile tool for simulating radiation transport.
  • Current applications include nuclear reactor analysis and boron neutron capture therapy.
  • A graphical user interface aids in setting up 3D Monte Carlo simulations using computed tomography data.

Purpose of the Study:

  • To address the significant time required for statistically significant results in MCNP4A simulations.
  • To develop and implement optimizations for photon particle transport and dose scoring.
  • To enhance the efficiency of 3D Monte Carlo simulations for medical dosimetry applications.

Main Methods:

  • Developed a specialized patch file for MCNP4A.
  • Optimized photon particle transport and dose scoring within the MCNP4A lattice geometry.

Related Experiment Videos

  • Utilized computed tomography data for 3D geometry and source setup.

    • Main Results:

    • Achieved a ~4.7x performance increase in photon transport speed.
    • Achieved a ~470x performance increase in dose scoring efficiency.
    • Validated results with homogeneous and heterogeneous benchmark calculations, showing good agreement with measurements.

    Conclusions:

    • The developed MCNP4A optimizations significantly improve simulation speed for medical dosimetry.
    • The enhanced code provides accurate dose distributions for treatment planning analysis.
    • This advancement offers a more efficient computational tool for radiation therapy research and application.