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Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network
PURPOSE: Ventilation images can be derived from four‐dimensional computed tomography (4DCT) by analyzing the change in HU values and deformable vector fields between different respiration phases of computed tomography (CT). As deformable image registration (DIR) is involved, accuracy of 4DCT‐derived...
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| Pubblicato in: | Med Phys |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7098066/ https://ncbi.nlm.nih.gov/pubmed/30714159 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13421 |
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