Reconstruction of Emission Tomography Data Using Origin Ensembles

Time-of-flight PET image reconstruction using origin ensembles.

The origin ensemble (OE) algorithm is a novel statistical method for minimum-mean-square-error (MMSE) reconstruction of emission tomography data. This method allows one to perform reconstruction entirely in the image domain, i.e. without the use of forward and backprojection operations. We have investigated the OE algorithm in the context of list-mode (LM) time-of-flight (TOF) PET reconstructio...

Fully Bayesian Reconstruction of Positron Emission Tomography Data

Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data

Medical image reconstruction from projections is computationally intensive task that demands solutions for reducing the processing delay in clinical diagnosis applications. This paper analyzes reconstruction methods combined with preand post-filtering for Single Photon Emission Computed Tomography (SPECT) in terms of convergence speed and image quality. The evaluation is performed by means of a...

Data analysis in emission tomography using emission-count posteriors.

A novel approach to the analysis of emission tomography data using the posterior probability of the number of emissions per voxel (emission count) conditioned on acquired tomographic data is explored. The posterior is derived from the prior and the Poisson likelihood of the emission-count data by marginalizing voxel activities. Based on emission-count posteriors, examples of Bayesian analysis i...

Simultaneous Reconstruction in Dynamic Positron Emission Tomography

In this paper we study the problem of reconstructing simultaneously a sequence of images in a dynamic PET study. In our algorithm we will make use of the fact that the morphology does not change by much between adjacent frames. Together with a total variation prior this will be shown to reduce the noise level considerably, without corrupting the individuality of the frames. Simulation results a...