A deep learning approach to T1 mapping in quantitative MRI

Publication Type:

Conference Abstract


36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology (ESMRMB), Rotterdam, The Netherlands, Magn Reson Mater Phy, Volume 32 (Suppl. 1), Number S09.05 (2019)


Quantitative MRI aims to measure biophysical tissue parameters through the analysis of the MR signal. Conventional parameter estimation methods, which often rely on a voxel-wise mapping, ignores spatial redundancies. In this work, a deep learning method for T1 mapping is proposed to overcome this limitation.