Singular value decomposition analysis of back projection operator of maximum likelihood expectation maximization PET image reconstruction

Abstract

In emission tomography maximum likelihood expectation maximization reconstruction technique has replaced the analytical approaches in several applications. The most important drawback of this iterative method is its linear rate of convergence and the corresponding computational burden. Therefore, simplifications are usually required in the Monte Carlo simulation of the back projection step. In order to overcome these problems, a reconstruction code has been developed with graphical processing unit based Monte Carlo engine which enabled full physical modelling in the back projection.

Keywords

• pet
• maximum likelihood expectation maximization reconstruction
• positron range
• singular value decomposition
• convergence speed
• transport monte carlo