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- W4297148476 abstract "We propose a new method to reconstruct data acquired in a local tomography setup. This method uses an initial reconstruction and refines it by correcting the low frequency artifacts known as the cupping effect. A basis of Gaussian functions is used to correct the initial reconstruction. The coefficients of this basis are iteratively optimized under the constraint of a known subregion. Using a coarse basis reduces the degrees of freedom of the problem while actually correcting the cupping effect. Simulations show that the known region constraint yields an unbiased reconstruction, in accordance to uniqueness theorems stated in local tomography." @default.
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- W4297148476 date "2016-06-15" @default.
- W4297148476 modified "2023-09-23" @default.
- W4297148476 title "A practical local tomography reconstruction algorithm based on known subregion" @default.
- W4297148476 doi "https://doi.org/10.48550/arxiv.1606.04940" @default.
- W4297148476 hasPublicationYear "2016" @default.
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