Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo

Conventional reconstruction algorithms (e.g., delay-and-sum) used in photoacoustic imaging (PAI) provide a fast solution while many artifacts remain, especially for limited-view with ill-posed problem. In this paper, we propose a new convolutional neural network (CNN) framework Y-Net: a CNN architec...

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Detalles Bibliográficos
Autores principales: Lan, Hengrong, Jiang, Daohuai, Yang, Changchun, Gao, Feng, Gao, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322183/
https://www.ncbi.nlm.nih.gov/pubmed/32612929
http://dx.doi.org/10.1016/j.pacs.2020.100197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322183/
https://www.ncbi.nlm.nih.gov/pubmed/32612929
http://dx.doi.org/10.1016/j.pacs.2020.100197

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