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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Publicado en:	Journal of Digital Imaging Vol. 35; no. 3; pp. 432 - 446
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:	diagnostic images equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Jun2022
Acceso en línea:	Ver este registro en EBSCOhost