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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

3.2K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
3.2K
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

694
Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
694
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

364
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
364
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

408
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...
408
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

307
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
307
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

3.6K
The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Development of an indirect ELISA for the detection of venezuelan equine encephalitis virus specific antibodies in horses.

PloS one·2026
Same author

Development and Evaluation of a Web-Based App for Adverse Effect Management in Breast Cancer Patients Treated with Oral Targeted Therapy or Chemotherapy: Findings from a Pilot Study.

Current oncology (Toronto, Ont.)·2026
Same author

Canadian Women's Attitudes Toward Receiving Personalized Breast Cancer Risk Information: Insights From the PERSPECTIVE I&I Project.

Clinical breast cancer·2026
Same author

Fast personalized CT dose calculations with GPUMCD.

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)·2025
Same author

Whole-Slide Imaging and Radiological Features Predict Clinical Outcomes in Patients With Neuroendocrine Tumors of the Lung.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc·2025
Same author

Radiomics-based kidney lesion classification: Mitigating batch effect with nested combat harmonization.

Medical physics·2025

Related Experiment Video

Updated: Apr 11, 2026

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

16.8K

A study of potential numerical pitfalls in GPU-based Monte Carlo dose calculation.

Vincent Magnoux1, Benoît Ozell, Éric Bonenfant

  • 1Département de Génie Informatique et Génie Logiciel, École Polytechnique de Montréal, Montréal QC, Canada.

Physics in Medicine and Biology
|June 11, 2015
PubMed
Summary

Numerical errors in GPU Monte Carlo simulations for radiation oncology dose calculation can occur, particularly in energy accumulation and particle tracking. While most errors have minimal impact, understanding their origin is key for accurate GPU computing.

More Related Videos

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

3.3K
Dosimetry for Cell Irradiation using Orthovoltage 40-300 kV X-Ray Facilities
06:51

Dosimetry for Cell Irradiation using Orthovoltage 40-300 kV X-Ray Facilities

Published on: February 20, 2021

5.7K

Related Experiment Videos

Last Updated: Apr 11, 2026

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

16.8K
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

3.3K
Dosimetry for Cell Irradiation using Orthovoltage 40-300 kV X-Ray Facilities
06:51

Dosimetry for Cell Irradiation using Orthovoltage 40-300 kV X-Ray Facilities

Published on: February 20, 2021

5.7K

Area of Science:

  • Medical Physics
  • Computational Science
  • Numerical Analysis

Background:

  • GPU-accelerated Monte Carlo (MC) methods are crucial for precise dose calculations in radiation oncology.
  • Floating-point representation errors can impact the accuracy of these complex simulations.
  • Understanding and mitigating numerical errors is essential for reliable treatment planning.

Purpose of the Study:

  • To evaluate numerical errors from floating-point arithmetic in a GPU-based MC code (bGPUMCD) for radiation dose calculation.
  • To identify specific components and scenarios where these precision errors arise.
  • To provide guidelines for avoiding numerical errors in GPU computing platforms.

Main Methods:

  • Tested the bGPUMCD code, divided into energy accumulation, particle tracking, and physical interactions.
  • Assessed the impact of single-precision calculations on each component.
  • Examined a GPU-specific compilation option affecting speed and precision.
  • Compared a sensitive tracking function against a high-precision implementation.

Main Results:

  • Numerical errors were identified in the energy accumulation and particle tracking components.
  • Energy accumulation led to underdosed voxels near the radiation source.
  • The tracking system amplified rounding errors, causing rare, significant deviations in computed distances (<0.1%).
  • Most detected errors had negligible effects on overall simulation results due to random cancellation or limited particle impact.

Conclusions:

  • Floating-point errors can affect GPU-based MC dose calculations, particularly in specific code components.
  • While often self-correcting, identified errors highlight areas for optimization in GPU code development.
  • Findings offer valuable insights for improving the accuracy and reliability of GPU computing in medical physics.