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Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for magnetic resonance (MR) imaging–based attenuation correction (AC) (termed deep MRAC) in brain positron emission tomography (PET)/MR imaging. MATERIALS AND METHODS: A PET/MR imaging AC pipeline was built by using a deep...
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| Publicado no: | Radiology |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5790303/ https://ncbi.nlm.nih.gov/pubmed/28925823 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2017170700 |
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