Emission Image Reconstruction Based on Incremental Optimization Transfer Algorithm

We introduce the incremental optimization 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 could provide high quality reconstructed images