Ultra-low-dose Amyloid PET/MRI Reconstruction by Generative Adversarial Network
Jiahong Ouyang1, Kevin T. Chen2, Enhao Gong2, John Pauly2, and Greg Zaharchuk2
1Carnegie Mellon University, Pittsburgh, PA, United States, 2Stanford University, Stanford, CA, United States
Amyloid PET is widely used in the early diagnosis of dementia. However, the injection of the radiotracer will lead to radiation exposure to the subject. We proposed a novel method based on Generative Adversarial Network (GAN) with perceptual loss to achieve diagnostic image quality PET images using ultra-low-dose PET images with or without additional MR contrasts as inputs.
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