Yüklüyor......
Principal component reconstruction (PCR) for cine CBCT with motion learning from 2D fluoroscopy
PURPOSE: This work aims to generate cine CT images (i.e., 4D images with high‐temporal resolution) based on a novel principal component reconstruction (PCR) technique with motion learning from 2D fluoroscopic training images. METHODS: In the proposed PCR method, the matrix factorization is utilized...
Kaydedildi:
| Yayımlandı: | Med Phys |
|---|---|
| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
John Wiley and Sons Inc.
2017
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6027657/ https://ncbi.nlm.nih.gov/pubmed/29136282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12671 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|