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Abstract #4797

A versatile framework for chemical species separation in Dixon MR Fingerprinting

Elizabeth Huaroc Moquillaza1, Manuel Baumann2, Kilian Weiss3, Thomas Amthor2, Peter Koken2, Benedikt Schwaiger4, Markus R. Makowski1, Mariya Doneva2, and Dimitrios C. Karampinos1
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips Research Lab, Hamburg, Germany, 3Philips Healthcare, Hamburg, Germany, 4Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany


Dixon Magnetic Resonance Fingerprinting (Dixon-MRF) is being increasingly used to measure multiple quantitative parameters with effective fat suppression across body tissues. Dixon-MRF processing is typically performed in two steps: water-fat separation and dictionary matching. The present work introduces a versatile formulation for chemical species separation in Dixon-MRF (CSS-MRF) which allows to process a multi-echo fingerprint in a single step obtaining a water fingerprint, a fat fingerprint, a B0 value and a R2* value as outputs. CSS-MRF allows an easy and flexible definition of the parameters to be estimated and enables the option of a varying fat spectrum across the MRF-dimension.

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