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- W2402759916 abstract "Properties of two algorithms for iterative reconstruction of SPECT images, LS-MLEM and LS-OSEM,are studied and compared with the ML-EM algorithm in this paper. By using projection data of heavy-noise, their effectiveness in improving SPECT image quality is evaluated. A phantom with hot and cold lesion is used in the investigation. The reconstructed images using LS-MLEM or LS-OSEM show that there is not a rapid increase in image noise,and the best estimate is assuming that the reconstructed images satisfy the statistical model. The major advantage of using LS-MLEM or LS-OSEM algorithm in SPECT imaging is in their ability to accurately control for heavy-noise. And LS-OSEM algorithm obviously improves the convergence rate." @default.
- W2402759916 created "2016-06-24" @default.
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- W2402759916 date "2014-06-11" @default.
- W2402759916 modified "2023-09-23" @default.
- W2402759916 title "An iterative image reconstruction algorithm for SPECT" @default.
- W2402759916 doi "https://doi.org/10.13538/j.1001-8042/nst.25.030302" @default.
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