Cargando…
Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction
Conventional reconstruction methods for photoacoustic images are not suitable for the scenario of sparse sensing and geometrical limitation. To overcome these challenges and enhance the quality of reconstruction, several learning-based methods have recently been introduced for photoacoustic tomograp...
Autores principales: | Hsu, Ko-Tsung, Guan, Steven, Chitnis, Parag V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165448/ https://www.ncbi.nlm.nih.gov/pubmed/34094851 http://dx.doi.org/10.1016/j.pacs.2021.100271 |
Ejemplares similares
-
Fast iterative reconstruction for photoacoustic tomography using learned physical model: Theoretical validation
por: Hsu, Ko-Tsung, et al.
Publicado: (2023) -
Limited-View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning
por: Guan, Steven, et al.
Publicado: (2020) -
Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo
por: Lan, Hengrong, et al.
Publicado: (2020) -
Photoacoustic digital brain and deep-learning-assisted image reconstruction
por: Zhang, Fan, et al.
Publicado: (2023) -
Review of deep learning for photoacoustic imaging
por: Yang, Changchun, et al.
Publicado: (2020)