Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies

Deep learning (DL) strategies applied to magnetic resonance (MR) images in positron emission tomography (PET)/MR can provide synthetic attenuation correction (AC) maps, and consequently PET images, more accurate than segmentation or atlas-registration strategies. As first objective, we aim to invest...

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Detalles Bibliográficos
Autores principales: Presotto, Luca, Bettinardi, Valentino, Bagnalasta, Matteo, Scifo, Paola, Savi, Annarita, Vanoli, Emilia Giovanna, Fallanca, Federico, Picchio, Maria, Perani, Daniela, Gianolli, Luigi, De Bernardi, Elisabetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156597/
https://www.ncbi.nlm.nih.gov/pubmed/35091873
http://dx.doi.org/10.1007/s10278-021-00551-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156597/
https://www.ncbi.nlm.nih.gov/pubmed/35091873
http://dx.doi.org/10.1007/s10278-021-00551-1

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