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Projection‐domain scatter correction for cone beam computed tomography using a residual convolutional neural network
PURPOSE: Scatter is a major factor degrading the image quality of cone beam computed tomography (CBCT). Conventional scatter correction strategies require handcrafted analytical models with ad hoc assumptions, which often leads to less accurate scatter removal. This study aims to develop an effectiv...
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| Опубликовано в: : | Med Phys |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
John Wiley and Sons Inc.
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6684491/ https://ncbi.nlm.nih.gov/pubmed/31077390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13583 |
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