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

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

You might also read

Related Articles

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

Sort by
Same author

Monte Carlo-based prediction models for nanodroplet-mediated proton range verification.

Physics in medicine and biology·2026
Same author

Evaluating the adaptation rates for esophageal cancer: Impact of the setup error contribution and of the dosimetric threshold.

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)·2026
Same author

High dose proton FLASH irradiation under hypoxic conditions results in reduced DNA damage in normal pancreatic cells.

The British journal of radiology·2026
Same author

Near real-time adaptive planning for intra-fraction motion in proton therapy: a beamlet-free Monte Carlo approach.

Physics in medicine and biology·2026
Same author

Erratum: Impact of backscatter material thickness on the depth dose of orthovoltage irradiators for radiobiology research (2019<i>Phys. Med. Biol</i>.<b>64</b>055001).

Physics in medicine and biology·2026
Same author

The dual gap ionization chamber: a novel ionization chamber design for reference dosimetry to automatically correct for recombination losses in emerging radiotherapy modalities.

Physics in medicine and biology·2026

Related Experiment Video

Updated: Jun 16, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Monte Carlo-based analytical model for small and variable fields delivered by TomoTherapy.

Edmond Sterpin1, Brian T Hundertmark, Thomas R Mackie

  • 1Université Catholique de Louvain, Department of Radiotherapy and Oncology, Brussels, Belgium. esterpin@yahoo.fr

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|January 23, 2010
PubMed
Summary

A new Monte Carlo (MC) model, TomoPen, accurately simulates small radiation fields for helical TomoTherapy. This advancement enables dynamic jaws in future treatments.

More Related Videos

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Related Experiment Videos

Last Updated: Jun 16, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Modeling

Background:

  • TomoTherapy utilizes Monte Carlo (MC) simulations for treatment planning.
  • Accurate modeling of small radiation fields is crucial for advanced features like dynamic jaws.

Purpose of the Study:

  • To extend the validity of the TomoPen MC model for very small radiation fields.
  • To enable the implementation of dynamic jaws in helical TomoTherapy.

Main Methods:

  • Revisited electron source modeling using MC simulations and measurements for fields <1cm.
  • Developed a method using a single phase-space file (5 cm) with interpolated analytical functions for various jaw configurations.

Main Results:

  • Optimized electron source modeling achieved best results with a 1.1mm spot width.
  • The single phase-space method demonstrated no significant difference compared to full MC simulations for various field widths.

Conclusions:

  • The enhanced TomoPen model accurately simulates all jaw openings using a single 5 cm field phase-space file.
  • A bi-dimensional analytical function effectively accounts for fluence and angular distribution in the longitudinal direction.