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Abstract #4556

GFB-MRF: Parallel spatial and Bloch manifold regularized iterative reconstruction for magnetic resonance fingerprinting

Simon Arberet1, Xiao Chen1, Boris Mailhe1, Peter Speier2, Mathias Nittka2, Heiko Meyer2, and Mariappan Nadar1

1Digital Services, Digital Technology & Innovation, Siemens Medical Solutions, Princeton, NJ, United States, 2Siemens Healthcare, Application Development, Erlangen, Germany

We introduce a new iterative algorithm for Magnetic Resonance Fingerprinting (MRF) where spatial regularization and fingerprint matching are applied in parallel. This enables to have simultaneously a spatial regularization in addition to the time domain Bloch manifold regularization. Our proposed algorithm showed significant improvements with respect to the state of the art in particular regarding the robustness with respect to measurement noise.

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