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The reduction of noise in medical images is an important issue. In this paper, we propose a new ICA-based filter for reduction of noise in reconstruction domain. In the proposed filter, the reconstructed 3D PET images(X-Y plane-slice domain or X-Z plane) are firstly transformed to ICA domain, and then, the components of noise information are removed by a soft thresholding (shrinkage). In this study,...
Positron emission tomography (PET) imaging provides the functional information and precise physiological uptake of radioactivity in a patient's body. But the photon level of PET system has fewer level, the shortcoming of PET is low SNR. The quantum noise in emission data can have a significant influence on the statistical uncertainty of PET measurements. The reduction of the quantum noise in images...
Projection data in positron emission tomography (PET) are acquired as a number of photon counts from different observation angles. Positron decay is a random phenomenon that causes undesirably high variations in measured sinogram appearing as quantum noise. The ruduction of quantum noise or Poisson noise in medical images is an important issue. In this paper, we propose a new ICA-based filter for...
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