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Abstract #2711

Fat Water Classification of Symmetrically Sampled Two-Point Dixon Images using Biased Partial Volume Effects

Thobias Romu1,2, Olof Dahlqvist Leinhard2,3, Mikael F. Forsgren3,4, Sven Almer4, Nils Dahlstrm3,5, Stergios Kechagias3, Fredrik Nystrm3, rjan Smedby2,3, Peter Lundberg1,2, Magnus Borga2,6

1Department of Radiation Physics, Center for Surgery, Orthopedics & Oncology, Linkping University Hospital, Linkping, Sweden; 2Center for Medical Imaging Science & Visualization (CMIV), Linkping University, Sweden; 3Department of Medical & Health Sciences, Linkping University, Sweden; 4Department of Clinical & Experimental Medicine Faculty of Health Science, Linkping University, Sweden; 5Department of Radiology, Diagnostic Imaging Center, Linkping University Hospital, Sweden; 6Department of Biomedical Engineering, Linkping University, Sweden

Fat and water classification of symmetrically sampled two-point Dixon images is required for automatic post processing of the data after the phase sensitive reconstruction.