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Spectral CT Reconstruction via Low-rank Representation and Region-specific Texture Preserving Markov Random Field Regularization
Photon-counting spectral computed tomography (CT) is capable of material characterization and can improve diagnostic performance over traditional clinical CT. However, it suffers from photon count starving for each individual energy channel which may cause severe artifacts in the reconstructed image...
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| Vydáno v: | IEEE Trans Med Imaging |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7529661/ https://ncbi.nlm.nih.gov/pubmed/32217474 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.2983414 |
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