Enhancement of instrumented ultrasonic tracking images using deep learning

PURPOSE: Instrumented ultrasonic tracking provides needle localisation during ultrasound-guided minimally invasive percutaneous procedures. Here, a post-processing framework based on a convolutional neural network (CNN) is proposed to improve the spatial resolution of ultrasonic tracking images. MET...

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Detalles Bibliográficos
Autores principales: Maneas, Efthymios, Hauptmann, Andreas, Alles, Erwin J., Xia, Wenfeng, Noimark, Sacha, David, Anna L., Arridge, Simon, Desjardins, Adrien E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889406/
https://www.ncbi.nlm.nih.gov/pubmed/36057759
http://dx.doi.org/10.1007/s11548-022-02728-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889406/
https://www.ncbi.nlm.nih.gov/pubmed/36057759
http://dx.doi.org/10.1007/s11548-022-02728-7

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