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Motion Correction of Respiratory-Gated PET Images Using Deep Learning Based Image Registration Framework
PURPOSE: Artifacts caused by patient breathing and movement during PET data acquisition affect image quality. Respiratory gating is commonly used to gate the list-mode PET data into multiple bins over a respiratory cycle. Non-rigid registration of respiratory-gated PET images can reduce motion artif...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7446936/ https://ncbi.nlm.nih.gov/pubmed/32244230 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab8688 |
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