A deep learning approach to T1 mapping in quantitative MRI
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Conference AbstractSource:
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)Abstract:
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.
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