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Scientific article
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English

DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms

Published inNeuroImage, vol. 245, 118697
Publication date2021-12
Abstract

Purpose: Reducing the injected activity and/or the scanning time is a desirable goal to minimize radiation exposure and maximize patients' comfort. To achieve this goal, we developed a deep neural network (DNN) model for synthesizing full-dose (FD) time-of-flight (TOF) bin sinograms from their corresponding fast/low-dose (LD) TOF bin sinograms.

eng
Keywords
  • Brain imaging
  • Deep learning
  • Low-dose imaging
  • PET/CT
  • Time-of-flight
Funding
Citation (ISO format)
SANAAT, Amirhossein et al. DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. In: NeuroImage, 2021, vol. 245, p. 118697. doi: 10.1016/j.neuroimage.2021.118697
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ISSN of the journal1053-8119
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Technical informations

Creation11/08/2021 9:23:00 PM
First validation11/08/2021 9:23:00 PM
Update time03/16/2023 1:48:31 AM
Status update03/16/2023 1:48:30 AM
Last indexation01/17/2024 2:54:47 PM
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