Abstract #4325

Automatic organ-specific localization and quantification of fat in abdominal chemical shift encoding-based water-fat MRI: application to weight-loss in obesity

Jun Shen¹, Thomas Baum², Christian Cordes², Beate Ott³, Claudia Eichhorn³, Thomas Skurk^3,4, Hendrik Kooijman⁵, Ernst J Rummeny², Hans Hauner^3,4, Bjoern H Menze¹, and Dimitrios C Karampinos²

¹Department of Computer Science, TU Munich, Munich, Germany, ²Department of Radiology, TU Munich, Munich, Germany, ³Else Kröner Fresenius Center for Nutritional Medicine, TU Munich, Munich, Germany, ⁴ZIEL Research Center for Nutrition and Food Sciences, TU Munich, Munich, Germany, ⁵Philips Healthcare, Hamburg, Germany

The accumulation and regional distribution of abdominal adipose tissue and organ fat plays an important role in several diseases including obesity, metabolic syndrome and diabetes. The present work proposes a fully automatic method for abdominal organ segmentation and adipose tissue classification and measurement based on chemical shift encoding-based water-fat MR images. The results from the automatic method showed very good agreement with the manually created references. The developed automatic algorithm allowed the detection of regional differences in changes of adipose tissue depots in a study of 20 obese women undergoing a calorie restriction intervention.

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