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IPMI
2005
Springer

Regional Whole Body Fat Quantification in Mice

12 years 2 months ago
Regional Whole Body Fat Quantification in Mice
Obesity has risen to epidemic levels in the United States and around the world. Global indices of obesity such as the body mass index (BMI) have been known to be inaccurate predictors of risk of diabetes, and it is commonly recognized that the distribution of fat in the body is a key measure. In this work, we describe the early development of image analysis methods to quantify regional body fat distribution in groups of both male and female wildtype mice using magnetic resonance images. In particular, we present a new formulation which extends the expectationmaximization formalism commonly applied in brain segmentation to multi-exponential data and applies it to the problem of regional whole body fat quantification. Previous segmentation approaches for multispectral data typically perform the classification on fitted parameters, such as the density and the relaxation times. In contrast, our method directly computes a likelihood term from the raw data and hence explicitly accounts for e...
Xenophon Papademetris, Pavel Shkarin, Lawrence H.
Added 16 Nov 2009
Updated 16 Nov 2009
Type Conference
Year 2005
Where IPMI
Authors Xenophon Papademetris, Pavel Shkarin, Lawrence H. Staib, Kevin L. Behar
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