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 Experiment Videos

Comprehensive 3D visual simulation for radiation therapy planning.

Felix G Hamza-Lup1, Ivan Sopin, Omar Zeidan

  • 1Computer Science, Armstrong Atlantic State University, Savannah, GA 31419, USA. felix@cs.armstrong.edu

Studies in Health Technology and Informatics
|March 23, 2007
PubMed
Summary
This summary is machine-generated.

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

Evaluating Carbon Footprint of Proton Therapy Based on Power Consumption and Possible Mitigation Strategies.

International journal of radiation oncology, biology, physics·2023
Same author

Evaluation of cine imaging during multileaf collimator and gantry motion for real-time magnetic resonance guided radiation therapy.

Journal of applied clinical medical physics·2020
Same author

An optimized approach for robust spot placement in proton pencil beam scanning.

Physics in medicine and biology·2019
Same author

Commissioning an in-room mobile CT for adaptive proton therapy with a compact proton system.

Journal of applied clinical medical physics·2018
Same author

Effectiveness of base-of-skull immobilization system in a compact proton therapy setting.

Journal of applied clinical medical physics·2018
Same author

An end-to-end assessment of range uncertainty in proton therapy using animal tissues.

Physics in medicine and biology·2016
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026
See all related articles

A new web-based 3D simulator helps prevent collisions during external beam radiation therapy. It uses accurate 3D models of linear accelerators and patient scans for early detection, ensuring safer cancer treatment delivery.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computer Simulation

Background:

  • External beam radiation therapy (EBRT) requires precise radiation delivery for cancer treatment.
  • Linear accelerators (LINACs) in EBRT have complex moving hardware, posing collision risks with patients or components.
  • Accurate 3D modeling is crucial for simulating these complex geometries.

Purpose of the Study:

  • To develop a web-based 3D visual simulator for early detection of potential collisions in radiation therapy.
  • To enhance the safety and accuracy of external beam radiation therapy by identifying and mitigating collision risks.
  • To provide a tool for visualizing the complex interplay between LINAC hardware and patient anatomy.

Main Methods:

  • Development of a web-based 3D simulator.

Related Experiment Videos

  • Integration of accurate 3D models of specific linear accelerator hardware.
  • Incorporation of patient-specific volumetric data from CT scans.
  • Collision detection algorithms based on accurate spatial representations.
  • Main Results:

    • Successful creation of a functional 3D visual simulator for LINAC collision detection.
    • Demonstrated ability to accurately represent complex LINAC geometries and patient anatomy.
    • Early identification of potential collision scenarios within the simulated treatment environment.

    Conclusions:

    • The developed 3D simulator is a valuable tool for enhancing safety in radiation oncology.
    • Web-based simulation enables proactive identification and prevention of hardware-patient collisions.
    • This technology contributes to the precise and accurate delivery of external beam radiation therapy.