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Updated: Apr 30, 2026
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Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
Published on: April 4, 2012
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Development of automatic visceral fat volume calculation software for CT volume data.
Mitsutaka Nemoto1, Tusufuhan Yeernuer2, Yoshitaka Masutani1
1Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Journal of Obesity
|May 1, 2014
Summary
This study developed new software for automatically calculating visceral fat volume from CT scans. The software proved highly accurate and efficient, making it feasible for clinical use.
Area of Science:
- Medical Imaging
- Radiology
- Computational Anatomy
Background:
- Visceral fat volume is a key indicator of metabolic health.
- Accurate measurement of visceral fat is crucial for risk assessment.
- Manual segmentation of CT data is time-consuming and labor-intensive.
Purpose of the Study:
- To develop automated software for visceral fat volume calculation using CT data.
- To evaluate the feasibility and accuracy of the developed software.
Main Methods:
- Developed software using region segmentation and morphological analysis with CT value threshold.
- Utilized 24 whole-body CT datasets across diverse BMI categories and sexes.
- Defined true visceral fat volumes via manual segmentation by an experienced radiologist.
Main Results:
- Successfully calculated visceral fat volumes for all 24 datasets.
- Achieved an average calculation time of 252.7 seconds per case.
- Demonstrated excellent correlation (r > 0.999) between automated and manual measurements.
Conclusions:
- The developed software is feasible for rapid visceral fat volume calculation.
- The automated method exhibits high accuracy compared to manual segmentation.
- This tool offers a practical solution for assessing visceral adiposity.
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