Emission image reconstruction based on incremental optimisation transfer algorithm

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In this paper, the authors/researchers will introduce the incremental optimisation transfer framework to estimate emission means in positron emission tomography. The proposed algorithms accelerate convergence speeds and ensure global convergence (to a stationary point) under mild regularity conditions without inconvenient relaxation parameters. In experiments using synthetic data and real phantom data, it was found that, for a fixed level of background noise, the proposed idea in this paper provides high-quality reconstructed images.