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Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction
Image reconstruction of low-count positron emission tomography (PET) data is challenging. Kernel methods address the challenge by incorporating image prior information in the forward model of iterative PET image reconstruction. The kernelized expectation-maximization (KEM) algorithm has been develop...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081957/ https://www.ncbi.nlm.nih.gov/pubmed/36288234 http://dx.doi.org/10.1109/TMI.2022.3217543 |