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Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography
In emission tomography, iterative image reconstruction from noisy measured data usually results in noisy images, and so regularisation is often used to compensate for noise. However, in practice, an appropriate, automatic and precise specification of the strength of regularisation for image reconstr...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273977/ https://www.ncbi.nlm.nih.gov/pubmed/31944935 http://dx.doi.org/10.1109/TMI.2019.2956878 |