We describe a method for computing a continuous time estimate of tracer density using list-mode
positron emission tomography data. The rate function in each voxel is modeled as an …

Ordered subset expectation maximization (OSEM) is the most widely used algorithm for
clinical PET image reconstruction. OSEM is usually stopped early and post-filtered to control …

A challenge for positron emission tomography/computed tomography (PET/CT) quantitation
is patient respiratory motion, which can cause an underestimation of lesion activity uptake …

Artifacts caused by patient breathing and movement during PET data acquisition affect image
quality. Respiratory gating is commonly used to gate the list-mode PET data into multiple …

Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise
due to limited number of detected events. Prior information can be used to improve the …

Clinical widespread use of edge-preserving penalized-likelihood (PL) methods has been
hindered by the properties of the resulting images such as blocky background noise textures, …

Purpose The developments of PET/CT and PET/MR scanners provide opportunities for
improving PET image quality by using anatomical information. In this paper, we propose a novel …

Background Deep learning (DL)-based image quality improvement is a novel technique based
on convolutional neural networks. The aim of this study was to compare the clinical value …

We describe a fast and globally convergent fully four-dimensional incremental gradient (4DIG)
algorithm to estimate the continuous-time tracer density from list mode positron emission …

Detectability of lung tumors in PET images is severely compromised owing to respiratory
motion. A model based motion compensation method for image reconstruction from respiratory-…