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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

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