Abstract #1869

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

Vanessa Stahl¹, Martin T. Freitag², Armin M. Nagel^1,3, 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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