A deep learning approach to T1 mapping in quantitative MRI

Publication Type:

Conference Abstract

Source:

36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, 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.