Vector Extrapolated Fast Ml Algorithms for Emission Tomography

A new class of fast cyclic iterative algorithms for maximum likelihood estimation of emission densities in ECT is developed. The Approach is based on acceleration of convergence by vector extrapolation. The minimal polynomial and the reduced rank extrapolation techniques are integrated with the iterations in EM and EM search algorithms. The resulting algorithms, tested with simulated phantoms, have shown improved convergence and have given very encouraging results