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Estimating CT Image from MRI Data Using Structured Random Forest and Auto-context Model
Computed tomography (CT) imaging is an essential tool in various clinical diagnoses and radiotherapy treatment planning. Since CT image intensities are directly related to positron emission tomography (PET) attenuation coefficients, they are indispensable for attenuation correction (AC) of the PET i...
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| Pubblicato in: | IEEE Trans Med Imaging |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4703527/ https://ncbi.nlm.nih.gov/pubmed/26241970 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2015.2461533 |
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