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

Gauss's Law: Problem-Solving

Gauss's Law: Problem-Solving

Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area vector...

You might also read

Related Articles

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

Sort by

Same author

A parallel algorithm for generating Pareto-optimal radiosurgery treatment plans.

Medical physics·2026

Same author

Genomic and spatial analysis of local recurrences following risk-adapted breast radiotherapy in the IMPORT trials.

Breast cancer research : BCR·2026

Same author

Few-shot CBCT-based synthetic CT generation with denoising diffusion probabilistic model.

Medical physics·2025

Same author

Balancing misclassification errors in image-based inference using problem domain semantics and a nested cascade architecture.

Neural computing & applications·2025

Same author

Health-related quality of life and cognitive functioning in survivors of oligodendroglioma: An international cross-sectional investigation.

Neuro-oncology·2025

Same author

A unified workflow for classifying patterns of locoregional failure using radiotherapy treatment planning dose distributions.

BJR open·2025

Same journal

Artificial intelligence for biomarker prediction in gastric cancer: from histopathology to multimodal integration.

Frontiers in oncology·2026

Same journal

Influencing factors of cognitive frailty in older patients with esophageal cancer undergoing chemotherapy: a mixed-methods study.

Frontiers in oncology·2026

Same journal

HDAC1-mediated CDK1 decrotonylation inhibits colorectal cancer proliferation by regulating cell cycle and apoptosis.

Frontiers in oncology·2026

Same journal

Development and validation of a machine learning model to evaluate survival in patients with newly diagnosed breast cancer with liver metastasis.

Frontiers in oncology·2026

Same journal

Primary diffuse large b-cell lymphoma of the lip: a case report and literature review.

Frontiers in oncology·2026

Same journal

A deep learning-based prognostic model for diffuse large B-cell lymphoma incorporating PET/CT imaging features.

Frontiers in oncology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 27, 2026

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

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

Published on: February 6, 2019

Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model.

Joakim da Silva¹, Richard Ansorge², Rajesh Jena³

¹Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK; Department of Oncology, University of Cambridge, Cambridge, UK.

Frontiers in Oncology

|January 7, 2016

Summary

This summary is machine-generated.

This study introduces a novel graphics processing unit (GPU) algorithm for real-time proton therapy dose calculation, enhancing accuracy by modeling the low-dose halo. The optimized algorithm improves dose monitoring capabilities during treatment delivery.

Keywords:

adaptive radiotherapy dose calculation double Gaussian graphics processing unit pencil beam proton therapy

More Related Videos

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

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Related Experiment Videos

Last Updated: Mar 27, 2026

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

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

Published on: February 6, 2019

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

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Area of Science:

Medical Physics
Radiotherapy Physics
Computational Physics

Background:

Scanned proton pencil beams (PBs) offer conformal dose distributions but are sensitive to motion and anatomical changes.
Real-time dose calculation is crucial for online dose monitoring in proton therapy.
Previous work established a GPU-based PB algorithm for online dose calculation.

Purpose of the Study:

To extend the GPU-based PB algorithm with a double-Gaussian model for improved low-dose halo representation.
To evaluate the computational cost and accuracy of the extended algorithm for proton therapy.

Main Methods:

Implemented a double-Gaussian beam model within an existing GPU-accelerated PB algorithm.
Utilized two parameterizations for the halo dose: literature-based secondary particle distribution and Monte Carlo simulation fitting.
Assessed the impact on calculation time for treatment plans and energy layers.

Main Results:

The extended algorithm accurately accounts for the low-dose halo without significant computational overhead.
Calculation time increased by no more than 16% for investigated plans and ~25% for the most time-consuming energy layers.
Parameterization choice had minimal impact on calculation time, suggesting broad applicability.

Conclusions:

The developed GPU-based PB algorithm with a double-Gaussian model is the first of its kind for proton therapy.
The algorithm enables accurate real-time dose calculation, crucial for online monitoring and adaptive radiotherapy.
The implementation is adaptable for commercial treatment planning systems, promising improved clinical accuracy.