Model observers (MO) are widely used in medical imaging to act as surrogates of human
observers in task-based image quality evaluation, frequently towards optimization of …

Purpose The task‐based assessment of image quality using model observers is increasingly
used for the assessment of different imaging modalities. However, the performance …

Background Absolute quantitative myocardial perfusion SPECT requires addressing of
aleatory and epistemic uncertainties in conjunction with providing image quality sufficient for …

We describe and evaluate a fast implementation of a classical block-matching motion
estimation algorithm for multiple graphical processing units (GPUs) using the compute unified …

A potential drawback of image noise suppression in medical image sequence processing is
a possible loss of the apparent motion: making objects appears to move slower or less then …

In this paper we explore the capabilities of a graphical processing unit (GPU) for the fast
calculation of a tomographic projection operator in content-adaptive mesh models (CAMM). We …

In this paper we explore the use of a graphical processing unit (GPU) in a fast calculation of
a projection operator using a ray casting algorithm for a content-adaptive mesh model (…

In this paper we explore a parallel implementation for fast calculation of a tomographic
projection operator for content-adaptive mesh model (CAMM) image reconstruction. Previously …

A digital brain phantom was created from 3D CAD images and imported to a simulation of a
Siemens Healthineers Symbia Evo SPECT system. The simulation was performed using …

Motion estimation in an image sequence has many potential uses such as detecting and
tracking of moving objects in video surveillance [1], removal of temporal redundancy in video …