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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| 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 |