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

Modification and expansion of existing body condition scoring scales for rabbits (Oryctolagus cuniculus) improves inter-rater reliability when used by experienced raters.

The Veterinary record·2026
Same author

A two-center, randomized controlled trial to determine the effect of 12 weeks of caloric restriction with a novel diet in overweight cats with diabetes mellitus.

Journal of veterinary internal medicine·2026
Same author

Prevalence, morphology and associated risk factors for cystic ovaries in companion guinea pigs (Cavia porcellus).

The Veterinary record·2025
Same author

Reliability of body condition scoring using the Rabbit Size-O-Meter in companion rabbits (Oryctolagus cuniculus).

The Veterinary record·2025
Same author

Assessment of Exenatide Extended-Release for Maintenance of Diabetic Remission in Cats.

Journal of veterinary internal medicine·2025
Same author

Evaluation of laboratory findings indicating pancreatitis in healthy lean, obese, and diabetic cats.

Journal of veterinary internal medicine·2024

Related Experiment Video

Updated: May 8, 2026

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment
10:31

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

Published on: April 20, 2018

Optimizing CT-Based Models for Predicting Whole-Body Fat in Rabbits.

Panida Pongvittayanon1, Anna Hvidbjerg Poulsen1, Cecilie Olsen1

  • 1Department of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Veterinary Radiology & Ultrasound : the Official Journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

Computed tomography (CT) accurately estimates rabbit body fat. The best models for predicting whole-body fat percentage and fat mass in rabbits require specific CT data selections, including body region, Hounsfield unit ranges, and counting techniques.

Keywords:
adipositybody compositionchemical carcass analysis

More Related Videos

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
13:09

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

Transthoracic Echocardiographic Examination in the Rabbit Model
14:46

Transthoracic Echocardiographic Examination in the Rabbit Model

Published on: June 1, 2019

Related Experiment Videos

Last Updated: May 8, 2026

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment
10:31

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

Published on: April 20, 2018

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
13:09

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

Transthoracic Echocardiographic Examination in the Rabbit Model
14:46

Transthoracic Echocardiographic Examination in the Rabbit Model

Published on: June 1, 2019

Area of Science:

  • Veterinary imaging
  • Comparative anatomy
  • Biomedical engineering

Background:

  • Accurate body composition analysis is crucial in animal research.
  • Computed tomography (CT) offers a non-invasive method for assessing fat.
  • Optimizing CT-based methods is essential for reliable fat quantification in rabbits.

Purpose of the Study:

  • To evaluate three CT-based automatic fat segmentation methods.
  • To identify the optimal regression model for predicting whole-body fat in rabbits.
  • To compare CT-derived fat estimates with gold standard chemical carcass analysis.

Main Methods:

  • CT scans of 21 postmortem rabbits were analyzed.
  • Fat percentage (Fat%-CT) and fat volume (FV-CT) were estimated using different Hounsfield unit (HU) ranges and voxel counting techniques (1D, 2D, 3D).
  • Spearman rank correlation and simple linear regression were used to correlate CT data with chemical carcass analysis results.

Main Results:

  • High correlations (rs > 0.7, p < 0.001) were found between CT-estimated fat and chemical carcass analysis.
  • The optimal model for predicting whole-body Fat% utilized left kidney region CT data, HU Range 2, and 3D counting.
  • The optimal model for predicting whole-body fat (g) used abdominal region CT data, HU Range 1, and 1D counting.

Conclusions:

  • CT-based models are feasible for estimating whole-body fat in rabbits.
  • Model performance depends critically on the selection of body region, HU ranges, and counting techniques.
  • Further optimization of CT parameters can enhance the accuracy of fat quantification in rabbits.