Attenuation correction using 3d deep convolutional neural network for brain 18f-fdg pet/mr: comparison with atlas, zte and ct based attenuation correction

HIGHLIGHTS

• who: Paul Blanc-Durand et al. from the d`Imagerie Biomu00e9dicale, Sorbonne Universitu00e9, Paris, France, GE Healthcare, Munich, Germany have published the Article: Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0223141]. October 7, 2019 of June/24,/2019
• what: The authors propose to test a 3D U-net CNN to compute AC maps from ZTE MR images for brain FDG-PET/MR attenuation correction in a large . . .
  

   

  

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