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- W2367227403 abstract "Singular value decomposition (SVD) was used for image reconstruction to reduce the influence of noise in single photon emission computed tomography (SPECT). The 3D system transition matrix and the projection data were produced by a Monte-Carlo simulation based on a human torso phantom. The optimized reserve singular value, which represents the noise level, gives the best reconstructed image quality when noise is present. Compared with conventional reconstruction methods, the SVD reconstruction algorithm more effectively reduces the influence of noise to greatly improve the reconstructed result." @default.
- W2367227403 created "2016-06-24" @default.
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- W2367227403 date "2005-01-01" @default.
- W2367227403 modified "2023-09-23" @default.
- W2367227403 title "Singular value decomposition reconstruction algorithm for single photon emission computed tomography" @default.
- W2367227403 hasPublicationYear "2005" @default.
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