Deep learning-enabled quantification of simultaneous PET/MRI for cell transplantation monitoring.
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ABSTRACT:
SUBMITTER: Hayat H
PROVIDER: S-EPMC10319838 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature
Publications
Deep learning-enabled quantification of simultaneous PET/MRI for cell transplantation monitoring.
Hayat Hasaan H Wang Rui R Sun Aixia A Mallett Christiane L CL Nigam Saumya S Redman Nathan N Bunn Demarcus D Gjelaj Elvira E Talebloo Nazanin N Alessio Adam A Moore Anna A Zinn Kurt K Wei Guo-Wei GW Fan Jinda J Wang Ping P
iScience 20230609 7
Current methods of <i>in vivo</i> 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 currently faces two major challenges for monitoring cells. Primarily, the dynamic conditions of PET such as signal decay and spatiotemporal change in radioactivity prevent accurate quantificatio ...[more]
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