Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains

We aim to synthesize brain time‐of‐flight (TOF) PET images/sinograms from their corresponding non‐TOF information in the image space (IS) and sinogram space (SS) to increase the signal‐to‐noise ratio (SNR) and contrast of abnormalities, and decrease the bias in tracer uptake quantification. One hund...

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Detalles Bibliográficos
Autores principales: Sanaat, Amirhossein, Akhavanalaf, Azadeh, Shiri, Isaac, Salimi, Yazdan, Arabi, Hossein, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582376/
https://www.ncbi.nlm.nih.gov/pubmed/36087092
http://dx.doi.org/10.1002/hbm.26068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582376/
https://www.ncbi.nlm.nih.gov/pubmed/36087092
http://dx.doi.org/10.1002/hbm.26068

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