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Image-spectral decomposition extended-learning assisted by sparsity for multi-energy computed tomography reconstruction
BACKGROUND: Multi-energy computed tomography (CT) provides multiple channel-wise reconstructed images, and they can be used for material identification and k-edge imaging. Nonetheless, the projection datasets are frequently corrupted by various noises (e.g., electronic, Poisson) in the acquisition p...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929415/ https://www.ncbi.nlm.nih.gov/pubmed/36819292 http://dx.doi.org/10.21037/qims-22-235 |