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MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning
Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel intensities are not related to properties of photon attenuation and bone/air interfaces have similarly low signal. This work presents a learning-based method to derive patient-specific computed tomography...
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| Gepubliceerd in: | Phys Med Biol |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7773209/ https://ncbi.nlm.nih.gov/pubmed/30524027 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aaf5e0 |
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