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

Temperature simulations in tissue with a realistic computer generated vessel network.

G M Van Leeuwen1, A N Kotte, B W Raaymakers

  • 1Department of Radiotherapy, University Hospital Utrecht, The Netherlands.

Physics in Medicine and Biology
|May 5, 2000
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

Development and validation of commissioning tests for volumetric modulated arc therapy on the 1.5T MR-linac.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026
Same author

First Patient Study With Visual Biofeedback for Gating Delivery Efficiency Improvements on a 1.5 T MR-Linac.

International journal of radiation oncology, biology, physics·2026
Same author

Bowel tracking for MR-guided radiotherapy: simultaneous optimization of small bowel imaging and tracking.

Physics in medicine and biology·2025
Same author

Robust deep learning-based forward dose calculations for VMAT on the 1.5T MR-linac.

Physics in medicine and biology·2022
Same author

Dosimetric evaluation of off-axis fields and angular transmission for the 1.5 T MR-linac.

Physics in medicine and biology·2022
Same author

First experimental exploration of real-time cardiorespiratory motion management for future stereotactic arrhythmia radioablation treatments on the MR-linac.

Physics in medicine and biology·2022
Same journal

Impact of apertures on the out-of-field secondary neutron dose in collimated proton pencil-beam scanning.

Physics in medicine and biology·2026
Same journal

Quantifying cardiac deformable image registration accuracy and its dosimetric variability for 4D dose accumulation in stereotactic arrhythmia radioablation.

Physics in medicine and biology·2026
Same journal

Probabilistic modelling of bilateral lymphatic spread in oral cavity squamous cell carcinoma for personalised elective nodal treatment.

Physics in medicine and biology·2026
Same journal

A Monte Carlo simulation tool to analyze breast cancer trial outcomes: application to FAST-Forward trial.

Physics in medicine and biology·2026
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
See all related articles

Accurate hyperthermia treatment planning requires detailed patient vasculature information. Simulating blood flow with incomplete vessel data improves thermal predictions compared to standard methods, highlighting the value of precise vessel mapping.

Area of Science:

  • Biomedical Engineering
  • Medical Physics
  • Computational Biology

Background:

  • Accurate thermal modeling is crucial for effective hyperthermia cancer treatment.
  • Patient-specific vasculature significantly influences heat distribution during treatment.
  • Current thermal models often simplify or omit detailed vascular structures.

Purpose of the Study:

  • To investigate the impact of discrete vessel representation on thermal modeling accuracy in hyperthermia.
  • To compare a detailed discrete vessel model with the conventional bio-heatsink equation.
  • To assess the benefit of incorporating patient-specific large vessel information.

Main Methods:

  • Development of a discrete vessel thermal model in a simple tissue geometry.
  • Simulation of blood flow and thermal effects using the detailed artificial vessel network.

Related Experiment Videos

  • Comparison of simulation results with predictions from the conventional bio-heatsink equation.
  • Main Results:

    • An incomplete discrete description of the vessel network yielded superior temperature distribution predictions.
    • The discrete model outperformed the conventional bio-heatsink equation in accuracy.
    • Simulations demonstrated the significant influence of blood flow on thermal patterns.

    Conclusions:

    • Detailed discrete vessel modeling offers improved accuracy for hyperthermia treatment planning.
    • Incorporating information on large vessel positions enhances thermal prediction precision.
    • Further efforts in mapping patient vasculature are warranted for optimized hyperthermia outcomes.