This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …

Purpose In this article, we discuss dynamic whole-body (DWB) positron emission
tomography (PET) as an imaging tool with significant clinical potential, in relation to …

Purpose Tendency is to moderate the injected activity and/or reduce acquisition time in PET
examinations to minimize potential radiation hazards and increase patient comfort. This …

Glycolysis is a tightly regulated process in which several enzymes, such as Hexokinases
(HKs), play crucial roles. Cancer cells are characterized by specific expression levels of …

Purpose Attenuation correction and scatter compensation (AC/SC) are two main steps
toward quantitative PET imaging, which remain challenging in PET-only and PET/MRI …

Objective We demonstrate the feasibility of direct generation of attenuation and scatter-
corrected images from uncorrected images (PET-nonASC) using deep residual networks in …

Aims Despite the promising results achieved by radiomics prognostic models for various
clinical applications, multiple challenges still need to be addressed. The two main limitations …

Objectives Non-local mean (NLM) filtering has been broadly used for denoising of natural
and medical images. The NLM filter relies on the redundant information, in the form of …

Purpose The axial field of view (AFOV) of a positron emission tomography (PET) scanner
greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) …

The emerging biological understanding of metastatic cancer and proof-of-concept clinical
trials suggest that debulking all gross disease holds great promise for improving patient …