Statistical reconstruction-based scatter correction: a new method for 3D PET
نویسنده
چکیده
Accurate scatter correction is one of the major problems facing quantitative 3D PET and many methods have been developed for the purpose of reducing the resultant degradation of image contrast and loss of quantitative accuracy. A new scatter correction method called Statistical Reconstruction-Based Scatter Correction (SRBSC) is proposed in this paper and evaluated using Monte Carlo simulations, experimental phantoms and clinical studies. For accurate modeling, the scatter fraction and scatter response function for uniformly attenuating media are parametrised using Monte Carlo simulations.
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