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

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

Summary: 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-modali...

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Bibliographic Details
Main Authors: Hasaan Hayat, Rui Wang, Aixia Sun, Christiane L. Mallett, Saumya Nigam, Nathan Redman, Demarcus Bunn, Elvira Gjelaj, Nazanin Talebloo, Adam Alessio, Anna Moore, Kurt Zinn, Guo-Wei Wei, Jinda Fan, Ping Wang
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:iScience
Subjects:
Cell biology
Artificial intelligence applications
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004223011604

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