Deterministic Approach to the Posterior Distribution in a Bayesian Imaging Model

Jiang Qian, Valen Johnson, James Bowsher, Ronald Jaszczak
Duke University

Nov 30 1991

We describe a deterministic approach for approximating the posterior uncertainties of region volumes and means obtained from a statistical model for segmentation and analysis of emission computed tomography (ECT) images. Use of this approach in conjunction with Newton-Raphson iterative techniques and Laplace approximations to the posterior distribution on the image scene makes the resulting statistical model feasible for routine application in PED and 3-D SPECT reconstructions.


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