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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...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2017
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| Assuntos: | |
| Acesso em linha: | 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 |
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