Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network

In the last two decades, it has been shown that anatomically-guided PET reconstruction can lead to improved bias-noise characteristics in brain PET imaging. However, despite promising results in simulations and first studies, anatomically-guided PET reconstructions are not yet available for use in r...

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Detalles Bibliográficos
Autores principales: Schramm, Georg, Rigie, David, Vahle, Thomas, Rezaei, Ahmadreza, Van Laere, Koen, Shepherd, Timothy, Nuyts, Johan, Boada, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812485/
https://www.ncbi.nlm.nih.gov/pubmed/32971267
http://dx.doi.org/10.1016/j.neuroimage.2020.117399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812485/
https://www.ncbi.nlm.nih.gov/pubmed/32971267
http://dx.doi.org/10.1016/j.neuroimage.2020.117399

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