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MRI-based pseudo CT synthesis using anatomical signature and alternating random forest with iterative refinement model
We develop a learning-based method to generate patient-specific pseudo computed tomography (CT) from routinely acquired magnetic resonance imaging (MRI) for potential MRI-based radiotherapy treatment planning. The proposed pseudo CT (PCT) synthesis method consists of a training stage and a synthesiz...
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| Publicat a: | J Med Imaging (Bellingham) |
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| Autors principals: | , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6280993/ https://ncbi.nlm.nih.gov/pubmed/30840748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.4.043504 |
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