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Abstract #2915

Determination of Body Compartments at 1.5 and 3 Tesla, Combining Three Volume Estimation Methods

Tania Buehler1, Nicolas Ramseier1, Juergen Machann2, Nina Schwenzer2, Chris Boesch1

1Dept. of Clinical Research, University of Bern, Bern, Switzerland; 2Dept. of Diagnostic Radiology, Eberhard-Karls-University of Tbingen, Tbingen, Germany

Insulin resistance and the metabolic syndrome are cardiovascular risk factors with enormous consequences for the individual patient and the health care system. They can be linked with whole body fat (WBF), visceral adipose tissue (VAT), lean body volume (LBV), and whole body volume (WBV) imaged with MRI. In this study, a method is proposed and tested that uses point counting algorithms to determine the above mentioned body compartments in two groups of age-, weight-, height-, and BMI-matched volunteers at 1.5 and 3 Tesla.