1785 Objectives: To present the first results of 3D iterative image reconstruction algorithms
developed for EasyPET, a 3D PET prototype with variable spatial sampling. The easyPET is …

319 Objectives: One of the greatest challenges facing iterative fully-3D PET reconstruction is
the issue of long reconstruction times due to the large data size as compared to 2D mode. A …

An accurate system matrix is an important component in statistical PET image
reconstruction. Indeed, inaccurate projection-backprojection may wrongly distribute …

Purpose In the recent past, several algorithms have been developed in order to transform
3D sinograms acquired at volume PET systems into 2D data sets. These methods offer the …

1462 Objectives The goal of this study is to evaluate an algorithm for direct reconstruction of
PET parametric images from a one-tissue (1T) kinetic model. Methods Replicates of a 10-cm …

1485 Objectives: MicroPET is widely used for imaging small animals for biological research.
Current microPET scanners have a limited axial field-of-view (FOV). Multiple bed positions …

A fully 3D reconstruction algorithm based on filtered backprojection was evaluated for the
reconstruction of data obtained with multi-slice positron emission tomography (PET) …

Although all currently available PET scanners support 3D acquisition protocols, full 3D
image reconstruction is only rarely available in clinical PET. Usually, Fourier rebinning is …

1438 Objectives: A reproducible and high throughput workflow is often a must when large
cohorts of mice need to be scanned. A strategy to increase imaging throughput is to image …

526 Objectives: We implemented an accelerated version of list-mode 3D ordered subset
expectation maximization (OSEM) on a graphics processing unit (GPU). GPUs, present in …