Aplicación de redes neuronales en tomografía computarizada por ultrasonido
DOI:
https://doi.org/10.37537/rev.elektron.9.2.223.2025Palabras clave:
tomografía, ultrasonido, DCN, U-NetResumen
En este trabajo se desarrolló un sistema de reconstrucción de imágenes en el marco de la tomografía computarizada por ultrasonido, utilizando técnicas de aprendizaje profundo para la estimación de mapas de velocidad, asociados a la propagación de ondas acústicas. Se abordó el diseño y entrenamiento de diferentes arquitecturas de redes neuronales y se evaluó su desempeño. Para esto, se generó un conjunto de datos sintético mediante simulaciones y se realizó la adquisición de sinogramas reales mediante un sistema experimental que utiliza un transductor de inmersión.Descargas
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Los autores que publican en esta revista están de acuerdo con los términos establecidos en Creative Commons Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Licencia Pública Internacional — CC BY-NC-ND 4.0.
