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 i...
| Published in: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 8; pp. 2292 - 2305 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jul2023
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| Online Access: | View this record in EBSCOhost |