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Penalized PET reconstruction using deep learning prior and local linear fitting
Motivated by the great potential of deep learning in medical imaging, we propose an iterative positron emission tomography (PET) reconstruction framework using a deep learning-based prior. We utilized the denoising convolutional neural network (DnCNN) method and trained the network using full-dose i...
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| Publicat a: | IEEE Trans Med Imaging |
|---|---|
| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6375088/ https://ncbi.nlm.nih.gov/pubmed/29870375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2832613 |
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