Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks

@article{Dar2018ImageSI,
  title={Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks},
  author={Salman Ul Hassan Dar and Mahmut Yurt and Levent Karacan and Aykut Erdem and Erkut Erdem and Tolga Çukur},
  journal={CoRR},
  year={2018},
  volume={abs/1802.01221}
}
Acquiring images of the same anatomy with multiple different contrasts increases the diversity of diagnostic information available in an MR exam. Yet, scan time limitations may prohibit acquisition of certain contrasts, and images for some contrast may be corrupted by noise and artifacts. In such cases, the ability to synthesize unacquired or corrupted contrasts from remaining contrasts can improve diagnostic utility. For multi-contrast synthesis, current methods learn a nonlinear intensity… CONTINUE READING

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