Examinando por Materia "Medical images"

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    mantisGRID: a grid platform for DICOM medical images management in Colombia and Latin America.
    (SPRINGER, 2011-04-01) Garcia Ruiz M; García, A.; Ruiz Ibañez C; Gutierrez Mazo JM; Ramirez Giraldo JC; Pelaez Echavarria A; Valencia Diaz E; Pelaez Restrepo G; Montoya Munera EN; Garcia Loaiza B; Gomez Gonzalez S; Garcia Ruiz M; García, A.; Ruiz Ibañez C; Gutierrez Mazo JM; Ramirez Giraldo JC; Pelaez Echavarria A; Valencia Diaz E; Pelaez Restrepo G; Montoya Munera EN; Garcia Loaiza B; Gomez Gonzalez S; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    This paper presents the mantisGRID project, an interinstitutional initiative from Colombian medical and academic centers aiming to provide medical grid services for Colombia and Latin America. The mantisGRID is a GRID platform, based on open source grid infrastructure that provides the necessary services to access and exchange medical images and associated information following digital imaging and communications in medicine (DICOM) and health level 7 standards. The paper focuses first on the data abstraction architecture, which is achieved via Open Grid Services Architecture Data Access and Integration (OGSA-DAI) services and supported by the Globus Toolkit. The grid currently uses a 30-Mb bandwidth of the Colombian High Technology Academic Network, RENATA, connected to Internet 2. It also includes a discussion on the relational database created to handle the DICOM objects that were represented using Extensible Markup Language Schema documents, as well as other features implemented such as data security, user authentication, and patient confidentiality. Grid performance was tested using the three current operative nodes and the results demonstrated comparable query times between the mantisGRID (OGSA-DAI) and Distributed mySQL databases, especially for a large number of records.
  • No hay miniatura disponible
    Ítem
    mantisGRID: a grid platform for DICOM medical images management in Colombia and Latin America.
    (SPRINGER, 2011-04-01) Garcia Ruiz M; García, A.; Ruiz Ibañez C; Gutierrez Mazo JM; Ramirez Giraldo JC; Pelaez Echavarria A; Valencia Diaz E; Pelaez Restrepo G; Montoya Munera EN; Garcia Loaiza B; Gomez Gonzalez S; Universidad EAFIT. Departamento de Ingeniería Mecánica; Bioingeniería GIB (CES – EAFIT)
    This paper presents the mantisGRID project, an interinstitutional initiative from Colombian medical and academic centers aiming to provide medical grid services for Colombia and Latin America. The mantisGRID is a GRID platform, based on open source grid infrastructure that provides the necessary services to access and exchange medical images and associated information following digital imaging and communications in medicine (DICOM) and health level 7 standards. The paper focuses first on the data abstraction architecture, which is achieved via Open Grid Services Architecture Data Access and Integration (OGSA-DAI) services and supported by the Globus Toolkit. The grid currently uses a 30-Mb bandwidth of the Colombian High Technology Academic Network, RENATA, connected to Internet 2. It also includes a discussion on the relational database created to handle the DICOM objects that were represented using Extensible Markup Language Schema documents, as well as other features implemented such as data security, user authentication, and patient confidentiality. Grid performance was tested using the three current operative nodes and the results demonstrated comparable query times between the mantisGRID (OGSA-DAI) and Distributed mySQL databases, especially for a large number of records.
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    Ítem
    Ultrasound Image Dataset for Image Analysis Algorithms Evaluation
    (Springer Science and Business Media Deutschland GmbH, 2016-01-01) Cortes, C.; Kabongo, L.; Macia, I.; Ruiz, O.E.; Florez, J.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAE
    The use of ultrasound (US) imaging as an alternative for real-time computer assisted interventions is increasing. Growing usage of US occurs despite of US lower imaging quality compared to other techniques and its difficulty to be used with image analysis algorithms. On the other hand, it is still difficult to find sufficient data to develop and assess solutions for navigation, registration and reconstruction at medical research level. At present, manually acquired available datasets present significant usability obstacles due to their lack of control of acquisition conditions, which hinders the study and correction of algorithm design parameters. To address these limitations, we present a database of robotically acquired sequences of US images from medical phantoms, ensuring the trajectory, pose and force control of the probe. The acquired dataset is publicly available, and it is specially useful for designing and testing registration and volume reconstruction algorithms.