Award
NIH Reporter #1R03EB040241-01
Systematic investigation of artifacts in deep learning-based PET image enhancement
Recipient
University of California at Davis
Award Amount
$80,500.00
Ceiling
$80,500.00
Awarded
August 06, 2026
Identifier
1R03EB040241-01
NIH-funded project awarded to University of California at Davis to study artifacts in AI-enhanced PET images, developing risk models and clinical decision support tools.
Description
This project investigates how artificial intelligence-based image enhancement tools may unintentionally introduce false or misleading features into positron emission tomography images. It aims to evaluate, quantify, and model the risk of artifacts in DL-denoised PET images, developing a predictive framework for risk stratification and clinical decision support. The project is funded by the NIH and involves the University of California at Davis.