Abstract #1086

5D Flow Tensor MRI with Multipoint Encoding for Efficient Mapping of Reynolds Stresses in the In-vivo Aorta

Jonas Walheim¹, Hannes Dillinger¹, Alexander Gotschy^1,2,3, and Sebastian Kozerke¹

¹Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, Zurich, Switzerland, ²Great Ormond Street Hospital, London, United Kingdom, ³Department of Cardiology, University Hospital Zurich, Zurich, Switzerland

In-vivo 5D Flow Tensor MRI with multipoint encoding for accurate assessment of Reynolds stresses in the aorta is presented. Based on distributions of turbulence intensity in healthy and pathological flows, a 6-directional multipoint encoding with 3 different encoding strengths is proposed. Using a 5D Flow compressed sensing acquisition in-vivo data are collected in 10 minutes irrespective of breathing motion. Data obtained in aortic valve patients and healthy controls demonstrate the feasibility of the method to quantify turbulence in healthy and pathological flow.

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