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Abstract #4424

Three-dimensional motion correction in Magnetic Resonance Fingerprinting (MRF)

Jan W. Kurzawski1,2, Matteo Cencini3, Pedro A. Gómez4, Rolf F. Schulte5, Giada Fallo2, Alessandra Retico1, Michela Tosetti2,6, Mauro Costagli2,6, and Guido Buonincontri2

1Italian National Institute of Nuclear Physics, Pisa, Italy, 2IMAGO7 research Foundation, Pisa, Italy, 3Department of Physics, University of Pisa, Pisa, Italy, 4Computer Science department, Technical University of Munich, Munich, Germany, 5GE Healthcare, Munich, Germany, 6IRCCS Stella Maris, Pisa, Italy

Two-dimensional MRF is considered to be less sensitive to in-plane motion than conventional imaging techniques. However, in scanning populations prone to rapid and extensive motion, challenges remain. Here, we suggest a two-step 3D MRF procedure that includes the correction of subject motion during the reconstruction. In the first step, we reconstruct the data in small segments consisting of images with equal contrast and calculate the between-segment motion. In the second step, we perform motion correction and use corrected images for matching with dictionary. This results in higher quality of reconstructed images and better precision of quantitative maps.

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