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

Decision Making: P-value Method01:09

Decision Making: P-value Method

7.1K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.1K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.6K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.6K
Decision Making01:20

Decision Making

1.1K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

454
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
454
Response Surface Methodology01:16

Response Surface Methodology

726
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
726
Optimization Problems01:26

Optimization Problems

102
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
102

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Editorial: Advances in online and real-time adaptive radiotherapy.

Physics in medicine and biology·2025
Same author

Online adaption approaches for intensity modulated proton therapy for head and neck patients based on cone beam CTs and Monte Carlo simulations.

Physics in medicine and biology·2018
Same author

MO-A-213AB-07: Evaluation of Distal Dose Surface with In-Room PET for Proton Therapy Monitoring.

Medical physics·2017
Same author

MO-F-BRA-01: A Biomechanical Constraint for Intensity-Driven Deformable Alignment of Skeletal Components in the Head and Neck Region.

Medical physics·2017
Same author

MO-D-217BCD-01: Personalizing Medicine: Adapting to the Individual.

Medical physics·2017
Same author

MO-E-BRCD-01: Proton Treatment Planning Issues.

Medical physics·2017
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

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K

SU-E-J-61: Multi-Criteria Optimization for IGRT Decision Processes.

B Winey1,2, J Balter1,2

  • 1Massachusetts General Hospital, Boston, MA, and Harvard Medical School, Boston, MA.

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

This study presents a multi-criteria optimization framework for image-guided radiotherapy, improving patient setup decisions by considering dosimetric goals and daily anatomical variations for better treatment delivery.

Keywords:
AnatomyCancerDosimetryImage guided radiation therapyLungsMedical imagingRadiation therapy

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K

Related Experiment Videos

Last Updated: Mar 2, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Image-Guided Therapy

Background:

  • Patient setup verification in radiotherapy is complex due to anatomical variations in targets like the spine, abdomen, and head/neck.
  • Deformable or moving targets require adaptive strategies to ensure accurate radiation delivery.
  • Current methods may not fully address daily changes, impacting treatment efficacy and safety.

Purpose of the Study:

  • To develop a novel multi-criteria optimization framework for image-guided radiotherapy (IGRT) decision-making.
  • To enhance patient setup verification processes in the presence of target variations.
  • To integrate dosimetric constraints into daily treatment positioning decisions.

Main Methods:

  • An algorithm was developed for a multi-criteria framework to optimize patient setup shifts and rotations.
  • The framework utilizes dosimetric constraints and objectives to guide patient positioning and plan delivery.
  • Demonstrated with 1D models, lung lesions, and spine lesions, considering tumor coverage and organ-at-risk sparing.

Main Results:

  • The proposed algorithm provides a multi-criteria optimization framework that accommodates patient target variations.
  • Enables clinical decisions to address complex setup scenarios, improving accuracy.
  • Optimal patient positions and plan parameters are derived by incorporating dosimetric considerations.

Conclusions:

  • The multi-criteria framework effectively aids in patient setup and determines optimal daily positioning based on dosimetric goals.
  • Demonstrates the feasibility of adapting radiotherapy treatment to daily anatomical changes.
  • Future work includes incorporating multiple plans, field parameters, and advanced dose metrics (e.g., TCP, NTCP, EUD).