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Updated: Feb 15, 2026
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A Technique for Subcutaneous Abdominal Adipose Tissue Biopsy via a Non-diathermy Method
Published on: September 30, 2017
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Rodent Abdominal Adipose Tissue Imaging by MR
Bhanu Prakash Kn1, Jadegoud Yaligar2, Sanjay K Verma2
1Signal and Image Processing, Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #02-02, Helios, 11, Biopolis Way, Singapore, 138667. bhanu@sbic.a-star.edu.sg.
Methods in Molecular Biology (Clifton, N.J.)
|January 18, 2018
Summary
Rodents are key preclinical models for metabolic diseases like obesity and diabetes. This study details imaging protocols for precise fat quantification in rodents, aiding biomarker discovery for human metabolic conditions.
Area of Science:
- Biomedical imaging
- Preclinical research
- Metabolic disease modeling
Background:
- Rodents (rats and mice) are crucial preclinical models for studying obesity, diabetes, and metabolic syndrome.
- Translational and longitudinal imaging in rodents enables investigation of metabolic diseases.
- Identification of imaging biomarkers in rodents is vital for clinical translation.
Purpose of the Study:
- To describe quantitative abdominal imaging protocols for small animals.
- To enable segmentation and quantification of fat volumes in rodents.
- To support the development of imaging biomarkers for metabolic diseases.
Main Methods:
- Development of specialized imaging protocols for abdominal regions in rodents.
- Application of image segmentation techniques for precise fat volume measurement.
- Quantitative analysis of fat distribution and volume in preclinical models.
Main Results:
- Established protocols for high-resolution abdominal imaging in rats and mice.
- Successfully segmented and quantified various fat depots.
- Demonstrated the feasibility of longitudinal fat volume tracking.
Conclusions:
- The described protocols facilitate accurate fat quantification in rodent models.
- This methodology aids in the discovery and validation of imaging biomarkers for metabolic syndrome.
- Enables enhanced preclinical investigation of obesity and diabetes.
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