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. 2019 Oct 9;9:1010. doi: 10.3389/fonc.2019.01010

Figure 6.

Figure 6

From one augmented T1w image, the generator is capable of producing multiple ground truth high resolution (High Resolution SI) images and low resolution (Low Resolution SI) images, a small sample of which are shown. In this example, the top row shows images where metabolite signal is higher in WM. In the middle row, the metabolite signal is equal in WM and GM, whereas the metabolite signal is higher in the GM in the bottom row. Since a single input T1w image can produce many augmented T1w images, the generator allows for an exponentially large number of unique training data. The reconstruction for each aT1w image and LRSI is performed with the 32x32 D-UNet to yield the reconstructed HRSI images (Reconstructed). The difference maps are produced by subtracting the reconstructed and ground truth images.