Deep learning-enabled quantification of simultaneous PET/MRI for cell transplantation monitoring

Current methods of in vivo imaging islet cell transplants for diabetes using magnetic resonance imaging (MRI) are limited by their low sensitivity. Simultaneous positron emission tomography (PET)/MRI has greater sensitivity and ability to visualize cell metabolism. However, this dual-modality tool c...

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Detalles Bibliográficos
Autores principales: Hayat, Hasaan, Wang, Rui, Sun, Aixia, Mallett, Christiane L., Nigam, Saumya, Redman, Nathan, Bunn, Demarcus, Gjelaj, Elvira, Talebloo, Nazanin, Alessio, Adam, Moore, Anna, Zinn, Kurt, Wei, Guo-Wei, Fan, Jinda, Wang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319838/
https://www.ncbi.nlm.nih.gov/pubmed/37416468
http://dx.doi.org/10.1016/j.isci.2023.107083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319838/
https://www.ncbi.nlm.nih.gov/pubmed/37416468
http://dx.doi.org/10.1016/j.isci.2023.107083

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