Abstract #2145
Automated Volumetric Fat Quantification of Adipose Tissue in Mice
Colin M McCurdy 1 , Bryan T Addeman 1 , Curtis N Wiens 2 , Lanette J Friesen-Waldner 1,3 , Trevor P Wade 1,3 , Jacqueline K Harris 1 , Abraam S Soliman 4 , Kevin J Sinclair 1 , and Charles A McKenzie 1,4
1
Medical Biophysics, The University of
Western Ontario, London, Ontario, Canada,
2
Radiology,
The University of Wisconsin, Madison, Wisconsin, United
States,
3
Robarts
Research Institute, London, Ontario, Canada,
4
Biomedical
Engineering, The University of Western Ontario, London,
Ontario, Canada
Excess Intra-Abdominal Adipose Tissue (IAAT) is
predictive of the onset of type-2 diabetes and
cardiovascular disease. Evaluating adipose tissue volume
in mouse models of disease would allow non-invasive
investigation of diet or treatment induced changes in
fat distribution. Here we demonstrate the adaptation of
an automated method for quantification of human adipose
tissue for use in mouse MRI. This method was validated
by comparison to manual segmentations of normal and
obese mice. Bland-Altman analysis showed differences
between manual and automated analysis of (6.7 4.7)
mm^3 for subcutaneous adipose tissue and (5.2 3.6)
mm^3 for IAAT.
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