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To investigate the feasibility of deep learning-assisted rapid silent PET/MR in pediatric applications.
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This study aims to address the challenges faced by PET/MR in pediatric applications by leveraging new technologies such as flexible coils, silent sequences, and deep learning-based image reconstruction. The objective is to provide a rapid, silent, comfortable, and half-dose PET/MR imaging solution for pediatric patients, and to demonstrate its feasibility in this patient population.
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35 participants in 1 patient group
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Jiajia Hu
Data sourced from clinicaltrials.gov
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