Preconditioned alternating projection algorithm for solving the penalized-likelihood SPECT reconstruction problem.

ABSTRACT:

Purpose

The authors recently developed a preconditioned alternating projection algorithm (PAPA) for solving the penalized-likelihood SPECT reconstruction problem. The proposed algorithm can solve a wide variety of non-differentiable optimization models. This work is dedicated to comparing the performance of PAPA with total variation (TV) regularization (TV-PAPA) and a novel forward-backward algorithm with nested expectation maximization (EM)-TV iteration scheme (FB-EM-TV).

Methods

Monte Carlo technique was used to simulate multiple noise realizations of the fan-beam collimated SPECT data for a piecewise constant phantom with warm background, and hot and cold spheres with uniform activities at two noise levels. They were reconstructed using the aforementioned algorithms with

SUBMITTER: Li S 

PROVIDER: S-EPMC5573596 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature