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Towards an Information Infrastructure for Medical Image Sharing.
Motta, Gustavo H M B; Araújo, Danilo A B; Lucena-Neto, Juracy R; Azevedo-Marques, Paulo M; Cordeiro, Saulo S; Araújo-Neto, Severino A.
Afiliação
  • Motta GHMB; Center of Informatics, Federal University of Paraíba, João Pessoa, PB, 58058-600, Brazil. gustavo@ci.ufpb.br.
  • Araújo DAB; Center of Informatics, Federal University of Paraíba, João Pessoa, PB, 58058-600, Brazil.
  • Lucena-Neto JR; Center of Informatics, Federal University of Paraíba, João Pessoa, PB, 58058-600, Brazil.
  • Azevedo-Marques PM; Center of Imaging Sciences and Medical Physics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil.
  • Cordeiro SS; Center of Imaging Sciences and Medical Physics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil.
  • Araújo-Neto SA; Center of Medical Sciences, Federal University of Paraíba, João Pessoa, PB, 58051-900, Brazil.
J Digit Imaging ; 33(1): 88-98, 2020 02.
Article em En | MEDLINE | ID: mdl-31197560
ABSTRACT
Information infrastructures involve the notion of a shared, open infrastructure, constituting a space where people, organizations, and technical components associate to develop an activity. The current infrastructure for medical image sharing, based on PACS/DICOM technologies, does not constitute an information infrastructure since it is limited in its ability to share in a scalable, comprehensive, and secure manner. This paper proposes the DICOMFlow, a decentralized, distributed infrastructure model that aims to foment the formation of an information infrastructure in order to share medical images and teleradiology. As an installed base, it uses the PACS/DICOM infrastructure of radiology departments and the internet e-mail infrastructure. Experiments performed in real and simulated environments have indicated the feasibility of the proposed infrastructure to foment the formation of an information infrastructure for medical image sharing and teleradiology.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Informação em Radiologia / Telerradiologia Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Informação em Radiologia / Telerradiologia Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article