Learning spatially variant degradation for unsupervised blind photoacoustic tomography image restoration

Photoacoustic tomography (PAT) images contain inherent distortions due to the imaging system and heterogeneous tissue properties. Improving image quality requires the removal of these system distortions. While model-based approaches and data-driven techniques have been proposed for PAT image restora...

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Detalles Bibliográficos
Autores principales: Tang, Kaiyi, Zhang, Shuangyang, Wang, Yang, Zhang, Xiaoming, Liu, Zhenyang, Liang, Zhichao, Wang, Huafeng, Chen, Lingjian, Chen, Wufan, Qi, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413197/
https://www.ncbi.nlm.nih.gov/pubmed/37575971
http://dx.doi.org/10.1016/j.pacs.2023.100536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413197/
https://www.ncbi.nlm.nih.gov/pubmed/37575971
http://dx.doi.org/10.1016/j.pacs.2023.100536

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