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- W2035867048 abstract "The problem of tomographic image reconstruction from measured projection data can be reduced to solving a set of linear equations represented in matrix form. In this paper, we show how image reconstruction in positron emission tomography (PET) can be achieved potentially in real-time using a regularized pseudo-inverse of the system matrix. An update of the current image estimate accounting for the next registered event can be obtained using a single column of the regularized pseudo-inverse matrix, thus allowing for instant visualization of the radioactivity distribution while the subject is still being scanned. The computed image estimate is the minimum-norm least-squares solution of the regularized inverse problem. The speed and performance of the algorithm were characterized and compared to those of a well-known statistical iterative algorithm. The proposed algorithm was validated with experimental list-mode PET data." @default.
- W2035867048 created "2016-06-24" @default.
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- W2035867048 date "2006-06-01" @default.
- W2035867048 modified "2023-09-26" @default.
- W2035867048 title "List-mode image reconstruction for real-time PET imaging" @default.
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- W2035867048 doi "https://doi.org/10.1016/j.jvcir.2006.02.004" @default.
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