PET Denoising

X Liu1, T Marin1, S Vafay Eslahi2

  • 1Yale University, Radiology and Biomedical Imaging, New Haven, Connecticut, United States of America.

IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium
|October 24, 2024
PubMed
概括

本研究引入了一种新的对比对抗性学习框架,以改进基于深度学习的正子发射断层扫描 (PET) 图像消噪. 该方法增强了跨学科的模型通用性,从而导致更可靠的临床应用.