Sub-2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single-ended readout using convolutional neural networks.

LaBella, Andy; Cao, Xinjie; Zeng, Xinjie; Zhao, Wei; Goldan, Amir H

LaBella, Andy; Cao, Xinjie; Zeng, Xinjie; Zhao, Wei; Goldan, Amir H.

Afiliação

LaBella A; Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Cao X; Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, USA.
Zeng X; Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, USA.
Zhao W; Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Goldan AH; Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.

Med Phys ; 48(3): 1019-1025, 2021 Mar.

Article em En | MEDLINE | ID: mdl-33305482

Assuntos

Redes Neurais de Computação; Tomografia por Emissão de Pósitrons; Tomografia Computadorizada por Raios X; Algoritmos; Humanos

Palavras-chave

CNN; DOI; PET; Prism-PET; machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article