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

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

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 corre...

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Bibliographic Details
Main Authors: Amirhossein Sanaat, Hossein Shooli, Sohrab Ferdowsi, Isaac Shiri, Hossein Arabi, Habib Zaidi
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
PET/CT
Brain imaging
Low-dose imaging
Deep learning
Time-of-flight
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Online Access:https://doaj.org/article/6e6aa4f1cd8c46f89f61150479de2fdc
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https://doaj.org/article/6e6aa4f1cd8c46f89f61150479de2fdc

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