On complete-data spaces for PET reconstruction algorithms

Abstract

As investigators consider more comprehensive measurement models for emission tomography, there will be more choices for the complete-data spaces of the associated expectation-maximization (EM) algorithms for maximumlikelihood (ML) estimation. In this paper, we show that EM algorithms based on smaller complete-data spaces will typically converge faster. We… (More)

Topics

  • Presentations referencing similar topics