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Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models.

Yan-Ran Joyce WangPengcheng WangLisa Christine AdamsNatasha Diba SheybaniLiangqiong QuAmir Hossein SarramiAshok Joseph TheruvathSergios GatidisTina HoQuan ZhouAllison PribnowAvnesh S ThakorDaniel RubinHeike E Daldrup-Link
Published in: European journal of nuclear medicine and molecular imaging (2023)
Compared to low-count PET images, with near-to or nondiagnostic images at higher dose reduction levels (up to 6.25%), both SwinIR and U-Net significantly improve the diagnostic quality of PET images. A radiotracer dose reduction to 1% of the current clinical standard radiotracer dose is out of scope for current AI techniques.
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