A data-driven method is proposed for rigid motion estimation directly from time-of-flight (TOF)-
positron emission tomography (PET) emission data. Rigid motion parameters (translations …

Background Patient head motion is a common source of image artifacts in computed
tomography (CT) of the head, leading to degraded image quality and potentially incorrect …

Objective. This paper addresses performing inverse radon transform (IRT) with artificial
neural network (ANN) or deep learning, simultaneously with cardiac motion correction (MC) …

Background: In this study, we present a quantitative method to evaluate the motion artifact
correction (MAC) technique through the morphological analysis of blood vessels in the …

Positron Emission Tomography (PET) is a powerful medical imaging modality widely used
for detection and monitoring of disease. However, PET imaging can be adversely affected by …

Head motion correction is an essential component of brain PET imaging, in which even
motion of small magnitude can greatly degrade image quality and introduce artifacts …

Objective. Multiple algorithms have been proposed for data driven gating (DDG) in single
photon emission computed tomography (SPECT) and have successfully been applied to …

The effective resolution of positron emission tomography (PET) can be significantly
degraded by patient motion during data acquisition. This is especially true in the thorax due …

Even for short protocols (< 1 min), head movement can compromise accurate
haemodynamic modelling of cerebral CT perfusion (CTP) imaging in acute stroke. Frame-to …

Head movement during long scan sessions degrades the quality of reconstruction in
positron emission tomography (PET) and introduces artifacts, which limits clinical diagnosis …