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

Reduced-order parameter optimization for simplifying prostate IMRT planning.

Renzhi Lu1, Richard J Radke, Laura Happersett

  • 1Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. lur@rpi.edu

Physics in Medicine and Biology
|January 18, 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

Dosimetric Predictors of Problematic Receptive Anal Intercourse After Prostate Radiation Therapy.

Advances in radiation oncology·2026
Same author

In Reply to DeLaney.

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

Dosimetric Correlates of Acute Toxicities for Moderate Hypofractionated Whole-Breast Irradiation: Implications for ASTRO Planning Guidelines.

Advances in radiation oncology·2026
Same author

Neurogenic thoracic outlet syndrome secondary to an unilateral cervical rib in a poodle mix.

Journal of veterinary internal medicine·2026
Same author

Empirical oral AntibioticS for possible UTI in well appearing Young febrile infants (EASY).

NIHR open research·2026
Same author

Reirradiation Collaborative Group (ReCOG) consensus on standards for dose evaluation and reporting in patients with multiple courses of radiation therapy: an AAPM/ACRO/ASTRO/CARO/COMP/CADRA/CPQR/ESTRO/NRG-endorsed consensus statement.

The Lancet. Oncology·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
Same journal

Corrigendum: Measured and Monte Carlo simulated electron backscatter to the monitor chamber for the varian TrueBeam linac (2016<i>Phys. Med. Biol</i>.<b>61</b>8779).

Physics in medicine and biology·2026
Same journal

Corrigendum: 3D range-modulator for scanned particle therapy: development, Monte Carlo simulations and experimental evaluation (2017<i>Phys. Med. Biol</i>.<b>62</b>7075).

Physics in medicine and biology·2026
Same journal

Recent progress in applications of computing to radiotherapy (ICCR 2016).

Physics in medicine and biology·2026
Same journal

Novel TMS coils designed using an inverse boundary element method.

Physics in medicine and biology·2026
See all related articles

Automating intensity-modulated radiotherapy (IMRT) planning for prostate cancer significantly reduces manual adjustments. This study introduces a recursive random search to optimize IMRT parameters, saving valuable planning time.

Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Computational Biology

Background:

  • Intensity-modulated radiotherapy (IMRT) is a crucial radiation therapy technique for cancer treatment.
  • Manual optimization of IMRT parameters is time-consuming and requires significant expertise.
  • Prostate cancer treatment planning presents specific challenges in achieving optimal dose distribution.

Purpose of the Study:

  • To simplify and automate the parameter adjustment process in five-field prostate IMRT planning.
  • To quantify the impact of IMRT cost function parameters on clinical objectives and plan quality.
  • To develop an automated method for determining IMRT parameters that meet clinical requirements.

Main Methods:

  • Conducted a sensitivity analysis of IMRT cost function parameters.

Related Experiment Videos

  • Implemented a recursive random search as an outer loop for automated parameter optimization.
  • Tested the automated method on a dataset of ten prostate cancer patients.

    • Main Results:

    • Sensitivity analysis identified key parameters influencing IMRT plan quality.
    • Automated parameter determination achieved clinically acceptable or near-acceptable plans for 70% of cases.
    • Average automated planning time was approximately 10 minutes per patient.

    Conclusions:

    • The proposed recursive random search effectively automates IMRT parameter optimization for prostate cancer.
    • This approach significantly reduces manual planning time and effort.
    • The outer-loop optimization is readily integrable into existing IMRT planning systems.