Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data

Background For PET/CT, the CT transmission data are used to correct the PET emission data for attenuation. However, subject motion between the consecutive scans can cause problems for the PET reconstruction. A method to match the CT to the PET would reduce resulting artifacts in the reconstructed im...

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