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Abstract #3155

Analysis of Abdominal Fat Tissue Images Acquired with Continuously Moving Table MRI

Stathis Hadjidemetriou1, Juergen Hennig1, Florian Klausmann1, Ute Ludwig1

1Department of Diagnostic Radiology, University Hospital Freiburg, Freiburg, Germany

The risk for hypertension and diabetes is correlated closely to the amount of visceral fat. In this work, the abdominal fat is imaged with a continuously moving table whole body MRI technique. A method is presented for the repeatable, general, and reliable differentiation of lipids into subcutaneous and visceral. The data is restored for intensity uniformity. The corrected image is processed to segment the body region with the graph cuts algorithm operating on level sets. Then, the contour separating the subcutaneous and visceral fat regions is identified with a combination of the random walks algorithm and graph cuts.