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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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| Publicat a: | Phys Med Biol |
|---|---|
| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | 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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