A cycle-consistent adversarial network for brain pet partial volume correction without prior anatomical information

HIGHLIGHTS

• who: Amirhossein Sanaat from the PET/CT and MRI data acquisition Patients undergoing a brain PET/CT/MRI scan collected between April , and February , at Geneva University Hospital were enrolled in this studyThe study protocol was approved by the institution`s ethics committee, and all patients gave written informed content. The two hundred and twelve patients dataset were acquired following injection of four different PET neuroimaging radiotracers (, FDG, , Flortaucipir, , Flutemetamol, and , FluoroDOPA). The corresponding CT and, weighted MR images were also used in this study. A combination of healthy patients and those diagnosed with different pathologies, such . . .
  

   

  

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