Examinando por Materia "image analysis"
Mostrando 1 - 2 de 2
Resultados por página
Opciones de ordenación
Ítem Ejecución de un sistema piloto de tele-radiología en Medellín, Colombia(Corporacion Editora Medica del Valle, 2006-01-01) García, A.; Isaza, J.F.; Zapata, U.; Roldán, S.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Bioingeniería GIB (CES – EAFIT)Objective: To implement a teleradiology pilot system in Medellín city using software for remote access, this allows the communication and interpretation of biomedical images at distance. Materials and methods: Images from different magnetic resonance and computed tomography studies stored in DICOM format were used. Data were transmitted in a point-to-point network using an integrated services digital network (ISDN) line between two radiological diagnostic centers. The system was developed under PC Intel's ×86 architecture, with Windows® 2000 as the operating system. Results: In order to read and visualize images stored in DICOM format, a Java application with functions that allow their manipulation and the option to export them to other formats such as JPEG, TIFF and BMP was developed. Conclusion: The system allows a clinically reliable diagnostic and remote interpretation for modalities such as computed tomography (CT) and magnetic resonance (MR) images, with acceptable response times. © 2006 Corporación Editora Médica del Valle.Ítem Laguerre-gauss filters in reverse time migration image reconstruction(Sociedade Brasileira de Geofisica, 2017-01-01) Castrillón, J.G.P.; Montoya, O.L.Q.; Sierra-Sosa, D.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoReverse time migration (RTM) solves the acoustic or elastic wave equation by means of the extrapolation from source and receiver wavefield in time. A migrated image is obtained by applying a criteria known as imaging condition. The cross-correlation between source and receiver wavefields is the commonly used imaging condition. However, this imaging condition produces spatial low-frequency noise, called artifacts, due to the unwanted correlation of the diving, head and backscattered waves. Several techniques have been proposed to reduce the artifacts occurrence. Derivative operators as Laplacian are the most frequently used. In this work, we propose a technique based on a spiral phase filter ranging from 0 to 2p, and a toroidal amplitude bandpass filter, known as Laguerre-Gauss transform. Through numerical experiments we present the application of this particular filter on three synthetic data sets. In addition, we present a comparative spectral study of images obtained by the zero-lag cross-correlation imaging condition, the Laplacian filtering and the Laguerre-Gauss filtering, showing their frequency features. We also present evidences not only with simulated noisy velocity fields but also by comparison with the model velocity field gradients that this method improves the RTM images by reducing the artifacts and notably enhance the reflective events. © 2017 Sociedade Brasileira de Geofísica.