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Abstract #0816

Chasing True FLAIR: a three-component Magnetic Resonance Fingerprinting approach to synthetic MRI

Matteo Cencini1,2, Guido Buonincontri2, Laura Biagi2,3, Pedro A Gómez4, Rolf F Schulte5, and Michela Tosetti2,3

1Department of Physics, University of Pisa, Pisa, Italy, 2IMAGO7 Foundation, Pisa, Italy, 3IRCCS Stella Maris, Pisa, Italy, 4Computer Science, Technische Universität München, Munich, Germany, 5GE Healthcare, Munich, Germany

MR Fingerprinting is a multiparametric imaging technique which allows to obtain several parametric maps of tissue, such as Proton Density and T1/T2 maps, within a single fast acquisition in transient-state. These maps can be used to synthesize a whole set of different contrast-weighted images, potentially substituting an entire conventional protocol. However, these synthetic images suffer from artifacts due to partial volume effects. This is particularly true for FLuid Attenuated Inversion Recovery (FLAIR) images. Here, we modify the signal model to account for CSF and flowing blood, correcting these artifacts, and we compared the resulting synthetic FLAIR to true FLAIR images.

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