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Improved low-count quantitative PET reconstruction with an iterative neural network
Image reconstruction in low-count PET is particularly challenging because gammas from natural radioactivity in Lu-based crystals cause high random fractions that lower the measurement signal-to-noise-ratio (SNR). In model-based image reconstruction (MBIR), using more iterations of an unregularized m...
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| Veröffentlicht in: | IEEE Trans Med Imaging |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7685233/ https://ncbi.nlm.nih.gov/pubmed/32746100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.2998480 |
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