Convolutional neural networks for automatic image quality control and EARL compliance of PET images

Convolutional neural networks for automatic image quality control and EARL compliance of PET images

Abstract Background Machine learning studies require a large number of images often obtained on different PET scanners. When merging these images, the use of harmonized images following EARL-standards is essential. However, when including retrospective images, EARL accreditation might not have been...

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Bibliographic Details
Main Authors: Elisabeth Pfaehler, Daniela Euba, Andreas Rinscheid, Otto S. Hoekstra, Josee Zijlstra, Joyce van Sluis, Adrienne H. Brouwers, Constantin Lapa, Ronald Boellaard
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:EJNMMI Physics
Subjects:
PET
Image quality
Convolutional neural network
Online Access:https://doi.org/10.1186/s40658-022-00468-w

Internet

https://doi.org/10.1186/s40658-022-00468-w

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