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Previously, we presented a direct 4D EM method for producing kinetic parameter images from list mode PET data, where the time-activity curve for each voxel is described by a one tissue compartment model (1T). The initial evaluation was performed with simulation, without random and scatter included. In addition, a practical single-scatter simulation (SSS) method was proposed so that the direct 4D method...
Previously, we presented a direct EM method for producing kinetic parameter images from list mode PET data, where the time-activity curve for each voxel is described by a one-tissue compartment model (1T). The initial evaluations were performed with simulations, without motion, randoms, or scatter effects included. By extension of our previous frame-based physics correction methods, a practical direct...
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...
PET image was often influenced by noise. In this paper, we proposed a nonlinear variational model for improving reconstruction of PET images. The use of variational model was due to its effectiveness for reducing noise in 2D images while preserving edges. Our results indicated that the proposed method application to computer-simulated and real PET phantom outperformed the conventional method in terms...
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