Application of Neural Networks in Ultrasound Computed Tomography

This work developed an image reconstruction system within the framework of Ultrasound Computed Tomography, utilizing deep learning techniques for the estimation of velocity maps associated with acoustic wave propagation. The design and training of different neural network architectures were addresse...

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Autores principales: Diaz Falvo, Malena Camila, González, Martín Germán, Rey Vega, Leonardo
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: FIUBA 2025
Materias:
tomography
ultrasound
DCN
U-Net
tomografía
ultrasonido
Acceso en línea:https://elektron.fi.uba.ar/elektron/article/view/223
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=223_oai
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Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires
id I28-R145-223_oai
record_format dspace
spelling I28-R145-223_oai2026-02-11 Diaz Falvo, Malena Camila González, Martín Germán Rey Vega, Leonardo 2025-12-15 This work developed an image reconstruction system within the framework of Ultrasound Computed Tomography, utilizing deep learning techniques for the estimation of velocity maps associated with acoustic wave propagation. The design and training of different neural network architectures were addressed, and their performance was evaluated. To this end, a synthetic dataset was generated through simulations, and the acquisition of real sinograms was performed using an experimental system that employs an immersion transducer. 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. application/pdf text/html https://elektron.fi.uba.ar/elektron/article/view/223 10.37537/rev.elektron.9.2.223.2025 spa FIUBA https://elektron.fi.uba.ar/elektron/article/view/223/396 https://elektron.fi.uba.ar/elektron/article/view/223/411 Derechos de autor 2025 Malena Camila Diaz Falvo, Martín Germán González, Leonardo Rey Vega Elektron Journal; Vol. 9 No. 2 (2025); 47-55 Revista Elektron; Vol. 9 Núm. 2 (2025); 47-55 Revista Elektron; v. 9 n. 2 (2025); 47-55 2525-0159 2525-0159 tomography ultrasound DCN U-Net tomografía ultrasonido DCN U-Net Application of Neural Networks in Ultrasound Computed Tomography Aplicación de redes neuronales en tomografía computarizada por ultrasonido info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=223_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
language Español
orig_language_str_mv spa
topic tomography
ultrasound
DCN
U-Net
tomografía
ultrasonido
DCN
U-Net
spellingShingle tomography
ultrasound
DCN
U-Net
tomografía
ultrasonido
DCN
U-Net
Diaz Falvo, Malena Camila
González, Martín Germán
Rey Vega, Leonardo
Application of Neural Networks in Ultrasound Computed Tomography
topic_facet tomography
ultrasound
DCN
U-Net
tomografía
ultrasonido
DCN
U-Net
description This work developed an image reconstruction system within the framework of Ultrasound Computed Tomography, utilizing deep learning techniques for the estimation of velocity maps associated with acoustic wave propagation. The design and training of different neural network architectures were addressed, and their performance was evaluated. To this end, a synthetic dataset was generated through simulations, and the acquisition of real sinograms was performed using an experimental system that employs an immersion transducer.
format Artículo
publishedVersion
author Diaz Falvo, Malena Camila
González, Martín Germán
Rey Vega, Leonardo
author_facet Diaz Falvo, Malena Camila
González, Martín Germán
Rey Vega, Leonardo
author_sort Diaz Falvo, Malena Camila
title Application of Neural Networks in Ultrasound Computed Tomography
title_short Application of Neural Networks in Ultrasound Computed Tomography
title_full Application of Neural Networks in Ultrasound Computed Tomography
title_fullStr Application of Neural Networks in Ultrasound Computed Tomography
title_full_unstemmed Application of Neural Networks in Ultrasound Computed Tomography
title_sort application of neural networks in ultrasound computed tomography
publisher FIUBA
publishDate 2025
url https://elektron.fi.uba.ar/elektron/article/view/223
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=223_oai
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AT gonzalezmartingerman applicationofneuralnetworksinultrasoundcomputedtomography
AT reyvegaleonardo applicationofneuralnetworksinultrasoundcomputedtomography
AT diazfalvomalenacamila aplicacionderedesneuronalesentomografiacomputarizadaporultrasonido
AT gonzalezmartingerman aplicacionderedesneuronalesentomografiacomputarizadaporultrasonido
AT reyvegaleonardo aplicacionderedesneuronalesentomografiacomputarizadaporultrasonido
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