Artificial intelligence-based PET denoising could allow a two-fold reduction in [¹⁸F]FDG PET acquisition time in digital PET/CT.

ABSTRACT:

Purpose

We investigated whether artificial intelligence (AI)-based denoising halves PET acquisition time in digital PET/CT.

Methods

One hundred ninety-five patients referred for [¹⁸F]FDG PET/CT were prospectively included. Body PET acquisitions were performed in list mode. Original "PET90" (90 s/bed position) was compared to reconstructed ½-duration PET (45 s/bed position) with and without AI-denoising, "PET45AI and PET45". Denoising was performed by SubtlePET™ using deep convolutional neural networks. Visual global image quality (IQ) 3-point scores and lesion detectability were evaluated. Lesion maximal and peak standardized uptake values using lean body mass (SUL_max and SUL_peak), metabolic volumes (MV), and liver SUL_mean were mea

SUBMITTER: Weyts K 

PROVIDER: S-EPMC9399218 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature