Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition

This paper explores the impact of a deep learning-based denoising algorithm on PET images, experimenting with reduced time and dose during image acquisition. The results are compared to regular image acquisition in phantom and patients with exciting results for the SubtlePET technology. Click here to read more