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Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network
In the last two decades, it has been shown that anatomically-guided PET reconstruction can lead to improved bias-noise characteristics in brain PET imaging. However, despite promising results in simulations and first studies, anatomically-guided PET reconstructions are not yet available for use in r...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812485/ https://www.ncbi.nlm.nih.gov/pubmed/32971267 http://dx.doi.org/10.1016/j.neuroimage.2020.117399 |