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...

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Detalles Bibliográficos
Autores principales: Li, Siqi, Gong, Kuang, Badawi, Ramsey D., Kim, Edward J., Qi, Jinyi, Wang, Guobao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
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

Internet

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

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