Imaging quality of an artificial intelligence denoising algorithm: validation in 68Ga PSMA-11 PET for patients with biochemical recurrence of prostate cancer
Abstract:Background
68Ga-PSMA PET is the leading prostate cancer imaging technique, but the image quality remains noisy and could be further improved using an Artificial Intelligence-based denoising algorithm. To address this issue, we analyzed the overall quality of reprocessed images compared to standard reconstructions. We also analyzed the diagnostic performances of the different sequences and the impact of the algorithm on lesion intensity and background measures.
Material and Methods
We retrospectively include… Show more
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