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

Synopsis

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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