Iterative Reconstruction of SPECT data with Adaptive Regularization

@inproceedings{Cyril2001IterativeRO,
  title={Iterative Reconstruction of SPECT data with Adaptive Regularization},
  author={Cyril and Riddell and Ir{\`e}ne and Buvat and Annarita and Savi and Maria-Carla and Gilardi and Ferrucio and C Fazio},
  year={2001}
}
A least-square reconstruction criterion is proposed for simultaneously estimating a SPECT (Single Photon Emission Computed Tomography) emission distribution corrected for attenuation together with its degree of regularization. Only a regularization trend has to be defined and tuned once for all on a reference study. Given this regularization trend, the precise regularization weight, which is usually fixed a priori, is automatically computed for each data set to adapt to the noise content of the… CONTINUE READING

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