Abstract:Emission tomographic image reconstruction is an ill-posed problem due to limited and noisy data and various image-degrading effects affecting the data and leads to noisy reconstructions. Explicit regularization, through iterative reconstruction methods, is considered better to compensate for reconstruction-based noise. Local smoothing and edgepreserving regularization methods can reduce reconstructionbased noise. However, these methods produce overly smoothed images or blocky artefacts in the final image becau… Show more
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