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

You might also read

Related Articles

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

Sort by
Same author

Occupational external exposure to ionizing radiation in research-associated activities in Iran (2015-2020).

Journal of radiological protection : official journal of the Society for Radiological Protection·2022
Same author

[Multimodal imaging in the diagnosis of retinal capillary hemangioblastoma].

Journal francais d'ophtalmologie·2021
Same author

ASSESSMENT OF WHOLE BODY, SKIN AND EYE LENS DOSES OF THE INTERVENTIONAL RADIOLOGISTS AT SELECTED HOSPITALS IN IRAN.

Radiation protection dosimetry·2021
Same author

Additional Tunisian patients with Sanjad-Sakati syndrome: A review toward a consensus on diagnostic criteria.

Archives de pediatrie : organe officiel de la Societe francaise de pediatrie·2019
Same author

DOSIMETRIC ASPECTS OF OPTIMIZATION OF PROTECTION IN IRAN INDUSTRIAL RADIOGRAPHY PRACTICE.

Radiation protection dosimetry·2018
Same author

A comprehensive dose assessment of irradiated hand by iridium-192 source in industrial radiography.

Australasian physical & engineering sciences in medicine·2017
Same journal

Occupational Exposure to Blue Light Emitted from Neonatal Phototherapy Devices Alters the Sleep Quality of NICU Nurses.

Journal of biomedical physics & engineering·2026
Same journal

Diagnosing Epilepsy using Entropy Measures and Embedding Parameters of EEG Signals.

Journal of biomedical physics & engineering·2026
Same journal

<i>In Vitro</i> Radiosensitizing Effects of Urtica Dioica Leaf Aqueous Extract on the Killing of U87MG Glioblastoma Cell Line.

Journal of biomedical physics & engineering·2026
Same journal

Bacterial Adaptation to Radiofrequency Electromagnetic Fields Based on Experiences from Ionizing Radiation.

Journal of biomedical physics & engineering·2026
Same journal

Advanced CNN Deep Learning Model for Diabetic Retinopathy Classification.

Journal of biomedical physics & engineering·2026
Same journal

Determining the Correlation and Effect of Rectal and Bladder Volume Change in Shift of Planning Target Volume and Calculating Planning Target Volume Margin with Van Herk Formula in Prostate Cancer Tomotherapy.

Journal of biomedical physics & engineering·2026
See all related articles

Related Experiment Video

Updated: Mar 3, 2026

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

Comparative Analysis of Neural Network Training Methods in Real-time Radiotherapy.

S Nouri1, S M Hosseini Pooya2, J Soltani Nabipour3

  • 1Department of Physics, Faculty of Basic Sciences, Islamic Azad University, Central Tehran Branch, Iran.

Journal of Biomedical Physics & Engineering
|April 29, 2017
PubMed
Summary
This summary is machine-generated.

Artificial intelligence, including neural networks, accurately estimates tumor positions during real-time radiotherapy. This improves treatment precision by tracking patient movements, crucial for protecting healthy tissues.

Keywords:
AlgorithmErrorGeneticNetworkNeuralParticle SwarmRadiotherapyReal-Time

More Related Videos

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.0K
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

21.2K

Related Experiment Videos

Last Updated: Mar 3, 2026

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
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.0K
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

21.2K

Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Artificial Intelligence in Medicine

Background:

  • Patient motion during radiotherapy, especially in the chest, poses a significant challenge to protecting healthy tissues from high radiation doses.
  • Real-time radiotherapy techniques utilize markers to track patient movement, enhancing dose delivery accuracy to the tumor.
  • Accurate tumor targeting is essential for effective cancer treatment and minimizing side effects.

Purpose of the Study:

  • To evaluate the accuracy of artificial intelligence (AI) methods for estimating tumor positions in real-time radiotherapy.
  • To compare the performance of neural networks, genetic algorithms, and particle swarm optimization (PSO) in real-time tumor tracking.
  • To assess the potential of AI in improving the precision of radiotherapy delivery.

Main Methods:

  • Utilized recorded signals from three external markers over 10 breathing cycles of a lung cancer patient undergoing cyber-knife treatment.
  • Applied neural network, genetic algorithm, and particle swarm optimization (PSO) methods using MATLAB software.
  • Trained and tested AI models to determine tumor locations based on marker signal data.

Main Results:

  • Neural network achieved a high accuracy of 0.8% in estimating tumor positions.
  • Genetic algorithm and particle swarm optimization (PSO) showed lower accuracies of 12% and 14%, respectively.
  • Demonstrated the superior performance of the neural network method for real-time tumor localization.

Conclusions:

  • Neural network algorithms are highly effective for determining internal target volume (ITV) during radiotherapy.
  • AI-driven tumor position estimation enhances the precision of real-time radiotherapy delivery.
  • The findings support the integration of advanced AI techniques in radiation oncology for improved patient outcomes.