Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography

Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed up. In this paper, we present a deep neural network that is specifically designed to provide high resolution 3-D images from restricted pho...

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Detalles Bibliográficos
Autores principales: Hauptmann, Andreas, Lucka, Felix, Betcke, Marta, Huynh, Nam, Adler, Jonas, Cox, Ben, Beard, Paul, Ourselin, Sebastien, Arridge, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613684/
https://www.ncbi.nlm.nih.gov/pubmed/29870367
http://dx.doi.org/10.1109/TMI.2018.2820382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613684/
https://www.ncbi.nlm.nih.gov/pubmed/29870367
http://dx.doi.org/10.1109/TMI.2018.2820382

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