Iterative reconstruction has become the standard for routine clinical PET imaging. However,
iterative reconstruction is computationally expensive, especially for time-of-flight (TOF) data …

Lesion-detection performance in oncologic PET depends in part upon count statistics, with
shorter scans having higher noise and reduced lesion detectability. However, advanced …

Positron emission tomography (PET) images are typically reconstructed with an in-plane
pixel size of approximately 4 mm for cancer imaging. The objective of this work was to …

1805 Objectives A PET image reconstruction tool (Q. Clear®) has been recently introduced
that allows more iterations of the raw PET data than the standard OSEM image …

This study was performed to prospectively evaluate fast PET/CT imaging protocols using
lutetium oxyorthosilicate (LSO) detector technology and 3-dimensional (3D) image …

Four sets of images were prepared (Table 1). Because statistical power in ROC studies was
maximized when approximately half of the images were normal (7), half of the images in …

Ordered Subset Expectation Maximization (OSEM) is currently the most widely used image
reconstruction algorithm for clinical PET. However, OSEM does not necessarily provide …

We compare 3 image reconstruction algorithms for use in 3-dimensional (3D) whole-body
PET oncology imaging. We have previously shown that combining Fourier rebinning (FORE) …

Objective Many advances in PET/CT technology can potentially improve image quality and
the ability to detect small lesions. A new digital TOF-PET/CT scanner based on silicon …

The resolution and quantitative accuracy of PET are highly influenced by the reconstruction
method. Penalized-likelihood estimation algorithms allow for fully convergent iterative …