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: | , , |
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
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FIUBA
2025
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| Materias: | |
| 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 |
| Aporte de: |
| Sumario: | 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. |
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