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Revista Cubana de Informática Médica

versión On-line ISSN 1684-1859

Resumen

ORELLANA GARCIA, Arturo; SOCARRAS LIMA, Damián  y  GONZALEZ PERALTA, Karla Camila. Process for the fusion of Positron Emission Tomography and Magnetic Resonance neuroimaging. RCIM [online]. 2020, vol.12, n.2  Epub 01-Dic-2020. ISSN 1684-1859.

In radiology, various imaging techniques are used for the diagnosis of diseases and assistance in surgical interventions with the aim of determining the exact location and dimension of a brain tumor. Techniques such as Positron Emission Tomography and Magnetic Resonance can determine the malignant or benign nature of a brain tumor and study brain structures with high-resolution neuroimaging. International researchers have used different techniques for the fusion of Positron Emission Tomography and Magnetic Resonance, allowing the observation of physiological characteristics in correlation with anatomical structures. The present research aims to develop a process for the fusion of neuroimaging of Positron Emission Tomography and Magnetic Resonance Imaging. Five activities were defined in the process and the algorithms to be used in each one, which led identifying the most efficient ones to increase the quality in the fusion process. As a result, a neuroimaging fusion process was obtained based on a hybrid Wavelet and Curvelet scheme that guarantees high quality merged images.

Palabras clave : algorithm; image fusion; Wavelet and Curvelet based scheme; PET and MRI images; process.

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