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Three-dimensional reconstructing undersampled photoacoustic microscopy images using deep learning
Spatial sampling density and data size are important determinants of the imaging speed of photoacoustic microscopy (PAM). Therefore, undersampling methods that reduce the number of scanning points are typically adopted to enhance the imaging speed of PAM by increasing the scanning step size. Since u...
Autores principales: | Seong, Daewoon, Lee, Euimin, Kim, Yoonseok, Han, Sangyeob, Lee, Jaeyul, Jeon, Mansik, Kim, Jeehyun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761854/ https://www.ncbi.nlm.nih.gov/pubmed/36544533 http://dx.doi.org/10.1016/j.pacs.2022.100429 |
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