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PET Image Reconstruction Using Kernel Method
Image reconstruction from low-count PET projection data is challenging because the inverse problem is ill-posed. Prior information can be used to improve image quality. Inspired by the kernel methods in machine learning, this paper proposes a kernel based method that models PET image intensity in ea...
Tallennettuna:
| Julkaisussa: | IEEE Trans Med Imaging |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4280333/ https://ncbi.nlm.nih.gov/pubmed/25095249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2014.2343916 |
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