Poster by H. Zhao at SPIE-ETAI, San Diego, 22 August 2023

Low dose and standard dose PET translation. (Image by H. Zhao.)
High quality PET image synthesis using GAN-transformer
Hang Zhao
Date: 21 August 2023
Time: 5:30 PM PDT

Amyloid-beta positron emission tomography (PET) is used for the diagnosis of Alzheimer’s disease (AD). However, the inherent radiation of radioactive tracers used for PET is potentially harmful to the human body. In this study, we present a deep-learning framework for generating high-quality standard-dose PET brain images from scans that have a simulated reduced injected dose of 12.5% of the standard injected dose, thus reducing radiation exposure without compromising image quality. This novel approach achieves remarkable similarity to full-dose images in both visual and quantitative aspects. Our method offers the potential of enabling safer and more accessible PET imaging for early Alzheimer’s disease detection.

Hang Zhao joins the Soft Matter Lab

(Photo by A. Argun.)
Hang Zhao starts his Ph.D. at the Physics Department of the University of Gothenburg on 5th, September 2022.

Hang has a Master’s degree in Biomedical Engineering from Linköping University, where he focused on machine learning and medical image processing.

In his PhD, he will focus on machine learning, graph theory, and neuroscience.