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 Concept Videos

Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

407
The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
407
Biological Effects of Radiation02:59

Biological Effects of Radiation

15.6K
All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
15.6K

You might also read

Related Articles

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

Sort by
Same author

Determination and use of patient curvature correction factors by measurement in electron monitor unit calculations.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2026
Same author

Measurement and application of the optimum value of head scatter correction factors in Radcalc for 6MV photon beams from varian linear accelerators.

Physical and engineering sciences in medicine·2025
Same author

In-vitro effects of modern radiotherapy regimes on cardiac implanted electrical devices.

Physics and imaging in radiation oncology·2025
Same author

Dose differences between patients treated with MR-only, CT-only, or MR-CT fusion radiotherapy for prostate cancer.

The British journal of radiology·2025
Same author

The effects of prehospital TXA on mortality and neurologic outcomes in patients with traumatic intracranial hemorrhage: A subgroup analysis from the prehospital TXA for TBI trial.

The journal of trauma and acute care surgery·2024
Same author

Automation to facilitate optimisation of breast radiotherapy treatments using EPID-based<i>in vivo</i>dosimetry.

Physics in medicine and biology·2024

Related Experiment Video

Updated: Jul 30, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

15.8K

Evaluation of the RadCalc collapsed cone dose calculation algorithm against measured data.

Neil Richmond1, Katherine Chester1, Steven Manley2

  • 1Department of Radiotherapy Physics, Northern Centre for Cancer Care, Freeman Hospital, Newcastle upon Tyne, NE7 7DN, UK.

Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists
|May 10, 2023
PubMed
Summary

This study validated the RadCalc collapsed cone dose calculation algorithm against measured data. While generally accurate, RadCalc overestimates dose in large field corners and had initial build-up region discrepancies, later corrected.

Keywords:
RadCalcRadiotherapyVarian TrueBeamcollapsed conephotons

More Related Videos

Irradiator Commissioning and Dosimetry for Assessment of LQ &#945; and &#946; Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

7.3K
Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator
07:31

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator

Published on: May 9, 2014

11.9K

Related Experiment Videos

Last Updated: Jul 30, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

15.8K
Irradiator Commissioning and Dosimetry for Assessment of LQ &#945; and &#946; Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

7.3K
Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator
07:31

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator

Published on: May 9, 2014

11.9K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Dosimetry

Background:

  • Accurate dose calculation is crucial for effective radiation therapy.
  • The collapsed cone convolution algorithm is widely used in treatment planning systems.
  • Experimental validation of dose calculation algorithms against measured data is essential.

Purpose of the Study:

  • To experimentally validate the RadCalc collapsed cone dose calculation algorithm.
  • To assess the algorithm's accuracy across various homogeneous and inhomogeneous scenarios.
  • To compare RadCalc calculations with measured data from a Varian TrueBeam linear accelerator.

Main Methods:

  • Measured 6 MV photon beam data in a water tank using a Varian TrueBeam.
  • Input measured data into RadCalc to create a collapsed cone beam model.
  • Assessed model performance against measurements in diverse phantom geometries.

Main Results:

  • Dose calculations generally agreed well with measurements (within 1.2% absolute dose in homogeneous media).
  • Percentage depth doses were within 0.5% beyond 2 cm depth.
  • Discrepancies noted in build-up region (corrected in later versions) and overestimation in large field corners due to lack of linac primary collimator modeling.

Conclusions:

  • The RadCalc collapsed cone algorithm demonstrates generally good agreement with measured data for various scenarios.
  • Model limitations include the absence of linac primary collimator modeling, affecting large field corner doses.
  • The algorithm shows acceptable accuracy for static IMRT and VMAT deliveries, within 2-3% or 2 mm of measured data.