Deep learning-based ultrasound transducer induced CT metal artifact reduction using generative adversarial networks for ultrasound-guided cardiac radioablation.

Puvanasunthararajah, Sathyathas; Camps, Saskia M; Wille, Marie-Luise; Fontanarosa, Davide

Puvanasunthararajah, Sathyathas; Camps, Saskia M; Wille, Marie-Luise; Fontanarosa, Davide.

Afiliación

Puvanasunthararajah S; School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia. sathyathas.puvanasunthararajah@hdr.qut.edu.au.
Camps SM; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia. sathyathas.puvanasunthararajah@hdr.qut.edu.au.
Wille ML; EBAMed SA, Geneva, Switzerland.
Fontanarosa D; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia.

Phys Eng Sci Med ; 46(4): 1399-1410, 2023 Dec.

Article en En | MEDLINE | ID: mdl-37548887

Asunto(s)

Artefactos; Aprendizaje Profundo; Metales; Tomografía Computarizada por Rayos X/métodos; Ultrasonografía Intervencional

Palabras clave

Cardiac radioablation; Computed tomography; Deep learning; Metal artifact reduction; Ultrasound guidance

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Artefactos / Aprendizaje Profundo Idioma: En Revista: Phys Eng Sci Med Año: 2023 Tipo del documento: Article País de afiliación: Australia

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