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Abstract #1869

Evaluation of Two Deformable Registration Algorithms for Assessment of Brown Adipose Tissue in Humans

Vanessa Stahl1, Martin T. Freitag2, Armin M. Nagel1,3, Ralf O. Floca4, Moritz C. Berger 1, Jan P. Karch5, Peter Bachert1, Mark E. Ladd1, and Florian Maier1

1Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 2Department of Radiology, German Cancer Research Center, Heidelberg, Germany, 3Department of Diagnostic and Interventional Radiology, University Medical Center Ulm, Ulm, Germany, 4Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany, 5Institue of Physics, Johannes Gutenberg University Mainz, Mainz, Germany

Human brown adipose tissue (BAT) is mostly found in cervical and mediastinal anatomic sites, making MR-imaging challenging because of susceptibility to breathing motion artifacts. Image acquisition under breath-hold requires data registration, especially for long measurement times. Two deformable registration algorithms (Fast Symmetric Forces Demons (FSF), Level Set Motion (LSM)) were evaluated regarding their suitability for compensation of deviations in breath-hold positions. Data processing was based on a volunteer study using distinct anatomical landmarks placed by an experienced radiologist. Landmark positions were evaluated after transformation, showing that FSF is more suitable for registration of thoracic data allowing for human BAT assessment.

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