An iterative Bayes algorithm for emission tomography using a smoothed sinogram

In this paper we formulate a new approach to medical image reconstruction from projections in emission tomography. This approach differs from traditional methods such as filtered back projection, maximum likelihood or maximum penalized likelihood. Our method is developed directly from the Bayes formula and the final result is an iterative algorithm, for which the maximum likelihood expectation-maximization of [1] (or [2]) is a special case.

• Type: Conference
• Year: 2006
• Where: ISBI
• Authors: Jun Ma
• Keywords: ISBI 2006, Maximum Likelihood Expectation-maximization, Maximum Penalized Likelihood, Medical Image Reconstruction, Medical Imaging