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Abstract #0876

Three-dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T

Guido Buonincontri1,2, Jan W Kurzawski2,3, Joshua Kaggie4, Tomasz Matys4, Ferdia Gallagher4, Matteo Cencini2,5, Graziella Donatelli2,6, Paolo Cecchi6, Mirco Cosottini2,6,7, Nicola Martini8, Francesca Frijia9, Domenico Montanaro9, Pedro A Gómez2,10, Rolf F Schulte11, Alessandra Retico3, and Michela Tosetti1,2
1IRCCS Stella Maris, Pisa, Italy, 2Imago7 Foundation, Pisa, Italy, 3Istituto Nazionale di Fisica Nucleare, Pisa, Italy, 4Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 5University of Pisa, Department of Physics, Pisa, Italy, 6U.O. Neuroradiologia, Azienda Ospedaliera Universitaria Pisana (AOUP), Pisa, Italy, 7University of Pisa, Department of Translational Research and New Technologies in Medicine and Surgery, Pisa, Italy, 8Fondazione Toscana Gabriele Monasterio, Pisa, Italy, 9U.O.C. Risonanza Magnetica Specialistica e Neuroradiologia, Fondazione CNR/Regione Toscana G. Monasterio, Pisa, Italy, 10Technical University of Munich, Munich, Germany, 11GE Healthcare, Munich, Germany

Three-dimensional magnetic resonance fingerprinting with spiral projection k-space trajectory offers fully-quantitative estimations at a high spatial resolution. To assess the repeatability and reproducibility of the estimations, we acquired test/re-test data in the human brain at 1.5T and 3.0T in a travelling head study involving a total of 12 subjects and 8 different MR scanners. Our approach estimated voxel-wise performance in the CNS: variability was assessed using coefficients-of-variation, bias using a GLM analysis. Solid matter repeatability CVs were under 2% for nPD/T1, and 5% for T2, while reproducibility biases were under 10% in solid matter compartments for T1/T2.

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