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

Pre-sleep alpha brain entrainment by audio or visual stimulation for chronic widespread pain and sleep disturbance: A randomised crossover feasibility trial.

The journal of pain·2025
Same author

Using lightsheet microscopy to investigate the initial lymphatic network in the murine knee joints.

bioRxiv : the preprint server for biology·2025
Same author

[Neurogenic voice disorders].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
Same author

Multimodal image-guided surgical robot versus 3D-printed template for brachytherapy of malignant tumours in the skull base and deep facial region: a clinical comparative study.

International journal of oral and maxillofacial surgery·2024
Same author

MRI radiomics predicts the efficacy of EGFR-TKI in EGFR-mutant non-small-cell lung cancer with brain metastasis.

Clinical radiology·2024
Same author

Comparison of different dosages of propofol combined with its equivalent alfentanil in outpatient abortion: a prospective, double-blinded, randomized trial.

European review for medical and pharmacological sciences·2024
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

Related Experiment Video

Updated: Mar 2, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

21.2K

SU-E-T-628: A Cloud Computing Based Multi-Objective Optimization Method for Inverse Treatment Planning.

Y Na1,2, T Suh1,2, L Xing1,2

  • 1Stanford University School of Medicine, Stanford, CA.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

This study developed a cloud computing method for multi-objective (MO) treatment plan optimization. The new approach significantly speeds up the generation of optimal intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) plans.

Keywords:
ElasticityIntensity modulated radiation therapyMedical treatment planningOptimizationSurface treatments

More Related Videos

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.0K
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

3.3K

Related Experiment Videos

Last Updated: Mar 2, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

21.2K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.0K
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

3.3K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Science

Background:

  • Multi-objective (MO) plan optimization for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) generates numerous plans, posing computational challenges.
  • Efficient generation of the Pareto surface is crucial for clinical application.

Purpose of the Study:

  • To develop an efficient multi-objective (MO) optimization method utilizing cloud computing to address computational challenges in treatment planning.
  • To leverage cloud platforms for faster generation of IMRT and VMAT treatment plans.

Main Methods:

  • Utilized Amazon Elastic Compute Cloud as a backbone for inverse treatment planning optimization.
  • Implemented a master-worker architecture where workers scale based on user-defined settings and automatically terminate upon task completion.
  • Employed a sparse decomposition method for objective function optimization on each worker node.

Main Results:

  • The cloud computing platform achieved comparable target dose coverage and critical structure sparing to traditional desktop PCs.
  • Substantial speedup in obtaining the Pareto set for both IMRT and VMAT plans was observed, scaling linearly with the number of computing nodes.
  • A computational time reduction model (0.2+2.3/N) with high accuracy (r̂2>0.99) was established, enabling near real-time MO planning.

Conclusions:

  • A cloud computing infrastructure was successfully developed for MO optimization, significantly improving inverse plan optimization speed.
  • The developed platform enhances the efficiency of MO planning and holds potential for future adaptive radiotherapy re-planning.
  • This approach makes real-time multi-objective treatment planning feasible.