Lanean...
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...
Gorde:
| Argitaratua izan da: | Phys Med Biol |
|---|---|
| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2020
|
| Gaiak: | |
| Sarrera elektronikoa: | 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 |
| Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|