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- W2156528618 abstract "For images that are represented by a finite number of parameters, statistical methods can take advantage of oversampling in the sinogram to reduce the noise in the reconstructed images. In this study, a new statistical angular sinogram filter is introduced for spacelimited images. Algebraic equations along with an efficient method for statistical image reconstruction that accounts for the non-stationary (Poisson) noise are formulated. A computer simulation and thorax phantom study were chosen with the count levels and heart-to-thorax activity ratio comparable to that of a typical whole body PET study. Using multiple independent noise realizations, this new method was found to reduce the noise variance by 5% and 2% for computer simulations and thorax phantom, respectively without introducing any bias." @default.
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- W2156528618 date "2002-12-24" @default.
- W2156528618 modified "2023-09-27" @default.
- W2156528618 title "The effects of spacelimiting constraints on statistical image reconstruction for PET" @default.
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- W2156528618 doi "https://doi.org/10.1109/nssmic.1996.587928" @default.
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