Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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

Perioperative and post-hospital whole-course nutrition management in patients with pancreatoduodenectomy - a single-center prospective randomized controlled trial.

International journal of surgery (London, England)·2024

Same author

Blood-Brain Barrier Penetrating Nanovehicles for Interfering with Mitochondrial Electron Flow in Glioblastoma.

ACS nano·2024

Same author

Ill-fitting prosthesis is associated with an increased risk of elevated blood pressures.

Journal of oral rehabilitation·2024

Same author

Melatonin improves salivary gland damage and hypofunction in pSS by inhibiting IL-6/STAT3 signaling through its receptor-dependent manner.

Molecular immunology·2024

Same author

ALK upregulates POSTN and WNT signaling to drive neuroblastoma.

Cell reports·2024

Same author

CellVisioner: A Generalizable Cell Virtual Staining Toolbox based on Few-Shot Transfer Learning for Mechanobiological Analysis.

Research (Washington, D.C.)·2024

Search research articles

Related Experiment Video

Updated: Jun 11, 2025

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

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

An automated commissioning method based on virtual source models: Customizing Monte Carlo dose verification models

Bo Cheng¹, Yuan Xu², Shijun Li¹

¹School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China.

Medical Physics

|September 27, 2024

Summary

This study introduces an automated method for virtual source model commissioning, significantly speeding up the creation of accurate Monte Carlo dose verification models for radiation therapy. The new approach ensures reliable clinical dose verification with reduced computational effort.

Keywords:

GPU accelerated Monte Carlo automatic beam modelling dose calculation

More Related Videos

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

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

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

Related Experiment Videos

Last Updated: Jun 11, 2025

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

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

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

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

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

Area of Science:

Medical Physics
Radiation Oncology
Computational Dosimetry

Background:

Accurate particle distribution in radiation therapy relies on precise beam modeling.
Virtual source models simplify accelerator modeling but manual commissioning is time-consuming.
An automated approach for virtual source model commissioning is needed for efficiency.

Purpose of the Study:

To develop an automated commissioning method for the virtual source model.
To customize accelerator models for independent Monte Carlo dose verification.
To improve the efficiency and accuracy of dose verification model creation.

Main Methods:

Established accelerator models using virtual source, Jaw, and MLC models.
Implemented a fully automated iterative process to adjust virtual source model parameters.
Designed objective functions based on water tank measurements for parameter adjustment and termination criteria.

Main Results:

Automated commissioning completed within 30 iterations for nine accelerators.
Achieved <2% relative dose difference and >97% gamma passing rates (3%/2mm).
Outperformed Simplex and Bayesian optimization in speed and accuracy for Versa HD accelerator.

Conclusions:

The proposed iterative method enables fast and automated commissioning of dose verification models.
This contributes to accurate and reliable clinical dose verification in radiation therapy.
The method offers a significant improvement over existing optimization techniques.