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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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