  We present a novel analysis method for image reconstruction in emission
tomography. The method, named Reconstructed Image from Simulations Ensemble
(RISE), utilizes statistical physics concepts and Monte Carlo techniques to
extract the parameters of a physical model representing the imaged object from
its planar projections. Its capabilities are demonstrated and evaluated by
reconstructing tomographic images from sets of simulated SPECT projections. The
RISE results compare favourably to those derived from the well - known Maximum
Likelihood Expectation Maximization (MLEM) method, the Algebraic Reconstruction
Technique (ART) and the Filtered Back Projection (FBP).
