The goal of this study is to generate PD Fat Suppression (PD FS) knee magnetic resonance (MR) image using deep neural network with three multi-contrast MR images (T1-weighted, T2-weighted, PD-weighted images). The results of our study show that our deep learning model can learn the relations between the input multi-contrast images and PD FS image and demonstrate the feasibility of deep learning can generate the features which have an effect on diagnosis.
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