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- W2018971788 abstract "The problem we are interested in is the restoration of nuclear medicine images acquired by a gamma camera. In a previous paper the authors have developed a wavelet based filtering method enabling to remove one of the major sources of error in nuclear medicine, namely Poisson noise. The purpose of this paper is to show how the restoration algorithm has been improved by introducing the point spread function as additional constraint in the restoration of the wavelet coefficients and choosing the regularization constraint in the object space. We describe a new restoration algorithm where filtering and deconvolution are coupled in a multiresolution frame. The performances are illustrated with simulated data and phantom images." @default.
- W2018971788 created "2016-06-24" @default.
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- W2018971788 date "1999-10-26" @default.
- W2018971788 modified "2023-10-03" @default.
- W2018971788 title "<title>Regularized image restoration in nuclear medicine</title>" @default.
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- W2018971788 doi "https://doi.org/10.1117/12.366841" @default.
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