Abstract #3915

Automated Multi-Atlas Segmentation of Suspected Brown Adipose Tissue from Water-Fat MRI: Initial Evaluation

Elin Lundström¹, Robin Strand^1,2, Anders Forslund^3,4, Peter Bergsten⁵, Daniel Weghuber^6,7, Matthias Meissnitzer⁸, Håkan Ahlström¹, and Joel Kullberg¹

¹Department of Radiology, Uppsala University, Uppsala, Sweden, ²Department of Information Technology, Uppsala University, Uppsala, Sweden, ³Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden, ⁴Children Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden, ⁵Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden, ⁶Department of Paediatrics, Division of Paediatric Gastroenterology, Hepatology and Nutrition, Paracelsus Medical University, Salzburg, Austria, ⁷Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria, ⁸Department of Radiology, Paracelsus Medical University, Salzburg, Austria

Segmentation of brown adipose tissue (BAT) from water-fat MR images generally requires time-consuming manual delineation. In this work a fully automated method, based on multi-atlas registration, for segmentation of human cervical-supraclavicular adipose tissue (suspected BAT) was evaluated using a semi-automated reference method, based on manual delineation. The presented method shows promising results for automated segmentation that allows time-efficient and objective measurements of BAT in large cohort research studies.

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