Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data

Medical image reconstruction methods based on deep learning have recently demonstrated powerful performance in photoacoustic tomography (PAT) from limited-view and sparse data. However, because most of these methods must utilize conventional linear reconstruction methods to implement signal-to-image...

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Detalles Bibliográficos
Autores principales: Tong, Tong, Huang, Wenhui, Wang, Kun, He, Zicong, Yin, Lin, Yang, Xin, Zhang, Shuixing, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322684/
https://www.ncbi.nlm.nih.gov/pubmed/32617261
http://dx.doi.org/10.1016/j.pacs.2020.100190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322684/
https://www.ncbi.nlm.nih.gov/pubmed/32617261
http://dx.doi.org/10.1016/j.pacs.2020.100190

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