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

Determining Optimal Fractionation of Neoadjuvant Radiation in Low-Risk, Early-Stage Breast Cancer-Randomized SIGNAL Clinical Trial.

Cancers·2026
Same author

Insights into the molecular mechanism of endoplasmic reticulum monooxygenase-induced ferroptosis revealed by in situ Raman spectroscopy.

Analytical and bioanalytical chemistry·2026
Same author

Development and implementation of a unified curriculum in math, statistics, computing, and informatics with financial considerations for medical physics graduate programs.

Journal of applied clinical medical physics·2026
Same author

Exploring the Protective Mechanism of Xuebijing Injection Against Sepsis.

Journal of inflammation research·2026
Same author

Radiation Oncology-Biology Integration Network: Bridging the Gap between Biological Research and Clinical Practice.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Quantifying stent-induced dose perturbations in intravascular brachytherapy using 3D- printed phantoms and film dosimetry.

Journal of applied clinical medical physics·2026

Related Experiment Video

Updated: May 22, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Automated beam placement for breast radiotherapy using a support vector machine based algorithm.

Xuan Zhao1, Dewen Kong, Gabor Jozsef

  • 1Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA.

Medical Physics
|May 8, 2012
PubMed
Summary
This summary is machine-generated.

An automated system using a support vector machine (SVM) precisely places tangential beams for whole breast radiotherapy. This technique optimizes radiation delivery, significantly reducing dose to the heart and lungs while maintaining excellent coverage of the breast tumor.

More Related Videos

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

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Related Experiment Videos

Last Updated: May 22, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

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

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Accurate beam placement is crucial in whole breast radiotherapy (WBRT) to ensure tumor coverage and minimize dose to organs at risk (OARs).
  • Manual beam placement is time-consuming and subject to inter-observer variability.
  • Developing automated techniques can improve efficiency and consistency in radiotherapy planning.

Purpose of the Study:

  • To develop and evaluate an automated beam placement technique for WBRT using tangential beams.
  • To optimize tangential beam parameters for comprehensive whole breast (WB) coverage and simultaneous minimization of dose to OARs.
  • To compare the dosimetric outcomes of automated versus manual beam placement.

Main Methods:

  • A support vector machine (SVM) algorithm was developed to determine optimal posterior beam planes for tangential beams.
  • The SVM cost function incorporated relative significances for including target volumes and excluding OARs.
  • Gantry angle, collimator angle, and jaw settings were derived from the SVM-derived separating plane, with potential for multileaf collimator (MLC) optimization.

Main Results:

  • Analysis of 36 left breast cancer patient plans showed significant reductions in OAR dose.
  • The mean heart V5 (volume receiving >500 cGy) decreased from 2.7 to 1.7 cm³ (p=0.058).
  • The mean ipsilateral lung V10 (volume receiving >1000 cGy) decreased from 55.2 to 40.7 cm³ (p=0.0013), with minimal impact on WB or tumor bed dose coverage (V95%).

Conclusions:

  • The SVM-based automated beam placement is feasible for WBRT.
  • The automated method effectively reduces radiation dose to OARs, particularly the heart and lungs.
  • This technique achieves OAR dose reduction without compromising target dose homogeneity or coverage.