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Image synthesis in multi-contrast MRI with conditional generative adversarial networks

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Academic year: 2021

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Fig. 1. The pGAN method is based on a conditional adversar- adversar-ial network with a generator G, a pre-trained VGG16 network V, and a discriminator D
Fig. 2. The cGAN method is based on a conditional adversar- adversar-ial network with two generators (G T1 , G T2 ) and two discriminators (D T1 , D T2 )
Fig. 3. The proposed approach was demonstrated for synthesis of T 2 -weighted images from T 1 -weighted images in the MIDAS dataset.
Fig. 5. The proposed approach was demonstrated on glioma patients for synthesis of T 2 -weighted images from T 1 -weighted images, and T 2 -weighted images from T 1 -weighted images in the BRATS dataset.
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