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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

259
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...
259
Relative Risk01:12

Relative Risk

2.2K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.2K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.7K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.7K
Organic Compounds03:02

Organic Compounds

57.5K
All living things are formed mostly of carbon compounds called organic compounds. The category of organic compounds includes both natural and synthetic compounds that contain carbon. Although a single, precise definition has yet to be identified by the chemistry community, most agree that a defining trait of organic molecules is the presence of carbon as the principal element, bonded to hydrogen and other carbon atoms. However, some carbon-containing compounds such as carbonates, cyanides, and...
57.5K
Levels of Organization01:09

Levels of Organization

141.4K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
141.4K
Accessory Organs01:31

Accessory Organs

74.3K
Accessory organs are those that participate in the digestion of food but do not come into direct contact with it like the mouth, stomach, or intestine do. Accessory organs secrete enzymes into the digestive tract to facilitate the breakdown of food.
74.3K

You might also read

Related Articles

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

Sort by
Same author

Evaluation of tumor localization accuracy on fast ring-gantry cone-beam computed tomography using patient-specific breathing curves and a dynamic anthropomorphic thorax phantom.

Physics and imaging in radiation oncology·2026
Same author

A standardized workflow for the development and manufacturing of tissue-equivalent anthropomorphic phantoms for radiotherapy using 3D-printing.

Physics in medicine and biology·2026
Same author

Assessing dosimetric uncertainties in Papillon+ contact x-ray brachytherapy for rectal cancer: impact of beam quality and tumour geometry.

Physics in medicine and biology·2026
Same author

Localizing the epileptogenic zone using deep learning and neuroimaging: A systematic review.

Seizure·2026
Same author

Evaluation of proton range differences in photon-counting and dual-energy computed tomography across imaging doses and anthropomorphic phantom sizes.

Physics in medicine and biology·2026
Same author

Evaluation of radiological properties and anisotropy with air channels analysis in 3D-printed flexible lung-mimicking materials for radiotherapy.

Physics in medicine and biology·2026

Related Experiment Video

Updated: Feb 8, 2026

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.7K

Automatic multiatlas based organ at risk segmentation in mice.

Brent van der Heyden1, Mark Podesta1, Daniëlle Bp Eekers1,2

  • 11 Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , The Netherlands.

The British Journal of Radiology
|July 6, 2018
PubMed
Summary
This summary is machine-generated.

An automated contouring method using multiatlas-based image segmentation (MABIS) significantly speeds up organ at risk (OAR) delineation in preclinical irradiation planning. This automated approach achieves high accuracy for organs with sharp boundaries, improving workflow efficiency.

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.6K
Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.7K

Related Experiment Videos

Last Updated: Feb 8, 2026

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.7K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.6K
Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.7K

Area of Science:

  • Medical physics
  • Radiotherapy research
  • Image analysis

Background:

  • Manual organ at risk (OAR) delineation is time-consuming in preclinical irradiation treatment planning.
  • This manual process limits animal wellbeing and workflow efficiency due to time constraints.

Purpose of the Study:

  • To develop and evaluate an automated contouring method for six OARs.
  • To integrate this method into a preclinical irradiation treatment workflow.

Main Methods:

  • A multiatlas-based image segmentation (MABIS) algorithm was developed.
  • The algorithm was applied to microcone-beam CT images of nine healthy mice.
  • Automatic contours were compared to manual delineations using Dice Similarity Coefficient (DSC), Hausdorff Distance, and center of mass displacement.

Main Results:

  • The MABIS algorithm demonstrated high accuracy for OARs with sharp boundaries.
  • Median DSC values exceeded 0.94 for the brain and heart, and 0.80 for kidneys.
  • Performance was slightly lower for low-contrast OARs like the eyes.

Conclusions:

  • The MABIS algorithm effectively delineates six OARs with high accuracy in preclinical settings.
  • Automated contouring improves efficiency and accuracy in irradiation treatment planning.
  • The method shows promise for streamlining preclinical research workflows.