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Fig. 3 | Journal of Big Data

Fig. 3

From: Artifact-free fat-water separation in Dixon MRI using deep learning

Fig. 3

Predicted values were performed on a participant in the test set, where the model was trained on all 800 participants in the training set. Absolute differences are displayed in the original image intensities. Performance metrics calculated on the 3D volume are: \(\text {SSIM}_W=0.953\), \(\text {SSIM}_F=0.970\), \(\text {PSNR}_W=29.80\,\text {dB}\) and \(\text {PSNR}_F=29.85\,\text {dB}\)

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