Presentation by Y.-W. Chang at SPIE-ETAI, San Diego, 22 August 2023

The proposed method enables accurate synthesis of longitudinal tau pathology. (Image by Y.-W. Chang.)
Synthesizing tau pathology from structural brain imaging using deep learning
Yu-Wei Chang, Giovanni Volpe, Joana B Pereira
Date: 22 August 2023
Time: 10:15 AM PDT

In vivo tau-positron emission tomography (PET) is crucial for determining the stage of Alzheimer’s disease (AD). However, this method is expensive, not widely available, and exposes patients to ionizing radiation, which poses a carcinogenic risk. To address this issue, I’ll present our proposed method, a deep-learning synthesis approach for follow-up tau-PET brain images from baseline tau-PET images using a generative adversarial network (GAN). This technique has the potential to provide valuable insights into the progression of AD, the effectiveness of new treatments, and more accurate diagnosis of the disease.


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