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

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

1.2K
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
1.2K
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

1.1K
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
1.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

252
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
252
Biological Effects of Radiation02:59

Biological Effects of Radiation

17.9K
All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
17.9K
Radiation: Applications01:17

Radiation: Applications

1.8K
The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
1.8K
Sound Intensity00:58

Sound Intensity

4.8K
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
4.8K

You might also read

Related Articles

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

Sort by
Same author

CT-number-preserving bidirectional cycle GAN for contrast addition and removal in head-and-neck radiotherapy planning CT: A multicenter retrospective cohort study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026
Same author

Federated deep learning for distributed intrusion detection and privacy preservation in power networks.

Scientific reports·2026
Same author

THGEM-Based Air Ionization Chamber for Online Dose Monitoring in Conventional and FLASH Radiotherapy.

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

Food-Derived Antidiabetic Peptides as Multi-Target Systemic Regulators: A Comprehensive Review of Sources, Preparation, Mechanisms and Future Perspectives.

Foods (Basel, Switzerland)·2026
Same author

[A Transformer-based multimodal model for predicting hospital-acquired infections using imaging and clinical laboratory data].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University·2026
Same author

Seasonal Dynamics of the Volatile Metabolome and Aroma Contribution in Xinyang Maojian Green Tea.

Biology·2026

Related Experiment Video

Updated: Feb 1, 2026

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

3.2K

Voxel-based automatic multi-criteria optimization for intensity modulated radiation therapy.

Yanhua Mai1, Fantu Kong1, Yiwei Yang2

  • 1Department of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China.

Radiation Oncology (London, England)
|December 7, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel automatic multi-criteria optimization framework for intensity modulated radiation therapy (IMRT). The new method improves plan quality and efficiency, reducing manual workload in radiation therapy planning.

Keywords:
Intensity modulated radiation therapyMulti-constraints optimizationTreatment planningVoxel-dependent parameter

More Related Videos

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K
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

16.2K

Related Experiment Videos

Last Updated: Feb 1, 2026

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

3.2K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K
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

16.2K

Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Computational Biology

Background:

  • Current intensity modulated radiation therapy (IMRT) planning suffers from low efficiency and plan quality uncertainty.
  • Existing automated methods often imitate manual processes, leading to sub-optimal plans due to limitations of organ-based objective functions.
  • A novel framework is needed to guarantee optimal results and automate IMRT planning.

Purpose of the Study:

  • To develop and evaluate a novel automatic multi-criteria optimization framework for IMRT.
  • To improve planning efficiency and ensure high plan quality consistency.
  • To address the limitations of current IMRT planning systems.

Main Methods:

  • Incorporation of a ranked priority-list based automatic constraints adjustment strategy.
  • Utilization of an in-house developed voxel-based optimization algorithm for fluence map optimization (FMO).
  • Sequential adjustment of constraints and iterative optimization loops until no further improvement is possible.

Main Results:

  • The automatic multi-criteria optimization method demonstrated improved plan quality.
  • Comparable dose-volume histograms (DVHs) for the planning target volume (PTV) were achieved with enhanced organs-at-risk (OAR) dose sparing.
  • Significant improvements were observed in 5 out of 13 evaluated dosimetric endpoints compared to original plans.

Conclusions:

  • A novel automatic multi-criteria optimization framework for IMRT has been successfully developed.
  • The framework significantly reduces trial-and-error in planning and ensures high plan quality consistency.
  • This approach is expected to advance precise radiation therapy through improved efficiency and quality.