Cargando…
Photoacoustic digital brain and deep-learning-assisted image reconstruction
Photoacoustic tomography (PAT) is a newly developed medical imaging modality, which combines the advantages of pure optical imaging and ultrasound imaging, owning both high optical contrast and deep penetration depth. Very recently, PAT is studied in human brain imaging. Nevertheless, while ultrasou...
Autores principales: | Zhang, Fan, Zhang, Jiadong, Shen, Yuting, Gao, Zijian, Yang, Changchun, Liang, Mingtao, Gao, Feng, Liu, Li, Zhao, Hulin, Gao, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244697/ https://www.ncbi.nlm.nih.gov/pubmed/37292518 http://dx.doi.org/10.1016/j.pacs.2023.100517 |
Ejemplares similares
-
Review of deep learning for photoacoustic imaging
por: Yang, Changchun, et al.
Publicado: (2020) -
Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo
por: Lan, Hengrong, et al.
Publicado: (2020) -
A jointed feature fusion framework for photoacoustic image reconstruction()
por: Lan, Hengrong, et al.
Publicado: (2022) -
Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction
por: Hsu, Ko-Tsung, et al.
Publicado: (2021) -
Deep learning enabled real-time photoacoustic tomography system via single data acquisition channel
por: Lan, Hengrong, et al.
Publicado: (2021)