Figure 10.

Example VN image denoising result. In these experiments Gaussian noise was added to coronal proton density weighted knee images and the noisy/clean image pairs were used to train the VN. The network was trained using the Adam optimizer with a learning rate of 1x10-3 and a batch size of 1 for 20 epochs. A coronal proton-density weighted image of the knee with added noise (a), the network output (b), and the target image (c). The absolute value of the difference between the target and noisy images and between the target and network output are shown in (d) and (e), respectively.