Fusión de neuroimágenes de PET/CT utilizando un esquema basado en Wavelet y la transformada discreta de Haar
[EN] In neurosciences, imaging techniques are used to diagnose diseases and assist in surgical interventions to determine the exact location and size of a tumor. International research has used different techniques for the fusion of Positron Emission Tomography and Computed Tomography because it all...
| Autores: | , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/160623 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/160623 |
| Access Level: | acceso abierto |
| Palavra-chave: | Fusion of images Bicubic Interpolation Wavelet transform Discrete Haar transform Image treatment Fusión de imágenes Interpolación bicúbica Transformada Wavelet Transformada discreta de Haar Tratamiento de imágenes |
| Resumo: | [EN] In neurosciences, imaging techniques are used to diagnose diseases and assist in surgical interventions to determine the exact location and size of a tumor. International research has used different techniques for the fusion of Positron Emission Tomography and Computed Tomography because it allows us to observe metabolic functions in correlation with anatomical structures. From the study of these techniques and algorithms a software was developed that performs the fusion of neuroimaging, using the fusion scheme based on Wavelet. Bicubic interpolation was used to correct the images. As a discrete Wavelet transform, Haar's was used. An evaluation of the quality of the resulting images was performed, obtaining 512 × 512 × 24 bit resolution images and a signal-to-noise ratio with values greater than 18. It was verified by histograms that the merged image contains more information than the input images independent. |
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