In quantitative imaging of the brain, it is common that tissues having different T1 and T2 values are mixed in a voxel and exchange proton each other. So multiparametric imaging method of brain microstructure is attracting much attention. In this study, we demonstrated that quantitative maps of 12 parameters in the brain 4-pool model (2 free water pools with exchange and 2 semi-solid water pools) were estimated within 10 seconds using deep learning from the data acquired by the tsDESPOT sequence.
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