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Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT

Published Online: 2022-05-20

Published Print: 2022-09

Authors

Weyts, Kathleen https://orcid.org/0000-0003-4829-9139
Lasnon, Charline https://orcid.org/0000-0001-5643-1668
Ciappuccini, Renaud https://orcid.org/0000-0002-5181-8182
Lequesne, Justine https://orcid.org/0000-0001-7046-1003
Corroyer-Dulmont, Aurélien https://orcid.org/0000-0002-9826-6565
Quak, Elske https://orcid.org/0000-0003-0791-9899
Clarisse, Bénédicte https://orcid.org/0000-0002-0543-732X
Roussel, Laurent

Bardet, Stéphane https://orcid.org/0000-0002-1881-8674
Jaudet, Cyril https://orcid.org/0000-0003-2021-1983
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Text and Data Mining valid from 2022-05-20

Version of Record valid from 2022-05-20
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Article History

Received: 27 December 2021

Accepted: 10 April 2022

First Online: 20 May 2022

Declarations

:

: This study was performed in line with the principles of the Declaration of Helsinki and compliance with the French Research Standard MR-004. Approval was granted by the Ethics Committee of Centre François Baclesse and registered (20/1/2021/ N° F20210720123322 on the French Health Data Hub).

: Informed consent was obtained from all individual participants included in the study.

: The authors affirm that human research participants provided informed consent for the publication of the images in Figs. , , and .

: The authors declare no competing interests.

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