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

A hybrid evolutionary algorithm for multi-objective anatomy-based dose optimization in high-dose-rate brachytherapy.

M Lahanas1, D Baltas, N Zamboglou

  • 1Department of Medical Physics and Engineering, Strahlenklinik, Klinikum Offenbach, 63069 Offenbach, Germany. mlahanas@gmx.de

Physics in Medicine and Biology
|March 1, 2003
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 the impact of a rigid and a deformable registration method of pre-treatment images for hypoxia-based dose painting.

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)·2024
Same author

Feasibility, pitfalls and results of a structured concept-development phase for a randomized controlled phase III trial on radiotherapy in primary prostate cancer patients.

BMC cancer·2022
Same author

Quantification of Tumor Oxygenation Based on FMISO PET: Influence of Location and Oxygen Level of the Well-Oxygenated Reference Region.

Advances in experimental medicine and biology·2020
Same author

Significance of the impact of motion compensation on the variability of PET image features.

Physics in medicine and biology·2018
Same author

On the use of high dose rate Ir192 and Yb169 sources with the MammoSite<sup>®</sup> radiation therapy system.

Medical physics·2017
Same author

High Dose Rate Brachytherapy as Monotherapy for Localised Prostate Cancer: Review of the Current Status.

Clinical oncology (Royal College of Radiologists (Great Britain))·2017
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
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
See all related articles

This study introduces a hybrid optimization algorithm for high-dose-rate brachytherapy, improving treatment planning by efficiently handling complex, competing objectives and generating diverse solutions for clinical decision-making.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Optimization

Background:

  • Anatomy-based dose optimization in high-dose-rate brachytherapy involves multiple, often competing, objectives and numerous parameters.
  • Traditional deterministic algorithms struggle with non-convex objectives or a large number of objectives due to potential local minima.

Purpose of the Study:

  • To develop and evaluate a modified hybrid multi-objective optimization algorithm (NSGA-II) for anatomy-based dose optimization in brachytherapy.
  • To efficiently generate a representative sample of the Pareto set for complex optimization problems, including non-convex objectives.

Main Methods:

  • A hybrid approach combining a deterministic optimization algorithm with a modified multi-objective optimization algorithm (NSGA-II).
  • Application to a prostate brachytherapy case, comparing variance-based objectives with dose-volume histogram (DVH) based objectives.

Related Experiment Videos

Main Results:

  • The hybrid algorithm efficiently produces over 1000 non-dominated solutions representing the trade-off surface within 2-5 minutes.
  • It effectively handles non-convex objectives without requiring artificial importance factors, unlike weighted sum approaches.
  • Comparison with variance-based objectives demonstrates the utility of DVH-based objectives in prostate brachytherapy planning.

Conclusions:

  • The hybrid NSGA-II algorithm offers an efficient and versatile method for anatomy-based dose optimization in brachytherapy, accommodating complex objectives.
  • It provides valuable insights into objective trade-offs, facilitating informed clinical decision-making for personalized treatment planning.
  • The approach is superior to traditional methods when dealing with multiple or non-convex optimization objectives.