FIGURE 1.

The proposed framework of multi-sequence GAN consists of a generator and a discriminator. Two different sequences of MR images are inputted into the generator. The MR images generated by the generator and the real enhanced sequence MR images are fed into the discriminator. In the discriminator model, instead of adding input contour images to the loss function as in the pix2pix model to make the generator’s predicted result match the contour of the original image, we use the generated enhanced MRI images and real enhanced MRI images as inputs to the discriminator to ensure that the generated images are more likely to resemble real enhanced MRI images.