Showing papers by "Jean-Baptiste Thibault published in 2000"
TL;DR: Quantitative comparisons between the two models are presented and it is shown that a judiciously chosen quadratic, as part of a short series of Newton-style steps, yields reconstructions nearly indistinguish- able from those under the exact Poisson model.
Abstract: Emission computed tomography is widely applied in medical diagnostic imaging, especially to determine physiological function. The available set of measurements is, however, often in- complete and corrupted, and the quality of image reconstruction is enhanced by the computation of a statistically optimal estimate. Most formulations of the estimation problem use the Poisson model to measure fidelity to data. The intuitive appeal and operational sim- plicity of quadratic approximations to the Poisson log likelihood make them an attractive alternative, but they imply a potential loss of reconstruction quality which has not often been studied. This pa- per presents quantitative comparisons between the two models and shows that a judiciously chosen quadratic, as part of a short series of Newton-style steps, yields reconstructions nearly indistinguish- able from those under the exact Poisson model. © 2000 SPIE and IS&T. (S1017-9909(00)00502-X)
10 citations