Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

Artificial intelligence and machine learning based approaches are increasingly finding their
way into various areas of nuclear medicine imaging. With the technical development of new …

Attenuation correction has been one of the main methodological challenges in the
integrated positron emission tomography and magnetic resonance imaging (PET/MRI) field …

Despite being thirteen years since the installation of the first PET-MR system, the scanners
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …

Phantoms are commonly used throughout medical imaging and medical physics for a
multitude of applications, the designs of which vary between modalities and clinical or …

Subject motion in positron emission tomography (PET) is a key factor that degrades image
resolution and quality, limiting its potential capabilities. Correcting for it is complicated due to …

Background Deep convolutional neural networks have demonstrated robust and reliable
PET attenuation correction (AC) as an alternative to conventional AC methods in integrated …

Objectives The authors present a novel technique to detect and characterize LAA thrombus
in humans using combined positron emission tomography (PET)/cardiac magnetic …

Applications of various positron emission tomography (PET) tracers for assessing
atherosclerosis have been evolving over the years. 18 F-fluorodeoxyglucose (FDG)-PET …

Estimation of attenuation from positron emission tomography (PET) data only is of interest for
hybrid PET-MR and systems where CT is not available or recommended. However, when …