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Application of Artificial Neural Network for Reducing Random Coincidences in PET

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Application of Artificial Neural Network for Reducing Random Coincidences in PET

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Oliver, J.; Fuster García, E.; Cabello, J.; Tortajada Velert, S.; Rafecas Lopez, MM. (2013). Application of Artificial Neural Network for Reducing Random Coincidences in PET. IEEE Transactions on Nuclear Science. 60(5):3399-3409. https://doi.org/10.1109/TNS.2013.2274702

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84048

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Title: Application of Artificial Neural Network for Reducing Random Coincidences in PET
Author: Oliver, J,F. Fuster García, Elíes Cabello, J. Tortajada Velert, Salvador Rafecas Lopez, Maria Magdalena
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Issued date:
Abstract:
Positron Emission Tomography (PET) is based on the detection in coincidence of the two photons created in a positron annihilation. In conventional PET, this coincidence identification is usually carried out through a ...[+]
Subjects: Artificial neural network , Image reconstruction , Positron emission tomography
Copyrigths: Cerrado
Source:
IEEE Transactions on Nuclear Science. (issn: 0018-9499 )
DOI: 10.1109/TNS.2013.2274702
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/TNS.2013.2274702
Project ID:
info:eu-repo/grantAgreement/MINECO//RD12%2F0036%2F0020/ES/Cáncer/
info:eu-repo/grantAgreement/MEC//TEC2007-61047/ES/IMPROVING IMAGE QUALITY IN POSITRON EMISSION TOMOGRAPHY/
info:eu-repo/grantAgreement/MICINN//FPA2010-14891/ES/Calidad de imagen y cuantificación en tomografía por emisión de positrones/
Thanks:
This work was supported by RD12/0036/0020 Red Tematica de Investigacion Coperativa en Cancer (RTICC) 2012; Ministerio de Ciencia e Innovacion through a JAE-Doc contract associated to CSIC and FSE co-financed; also under ...[+]
Type: Artículo

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