Artificial intelligence (AI)-based methods for medical imaging, and more specifically PET,
hold exciting promise in multiple stages of the imaging–technology–development lifecycle …

An important need exists for strategies to perform rigorous objective clinical-task-based
evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need …

Positron emission tomography (PET) is a nuclear imaging modality that provides in vivo
quantitative measurements of the spatial and temporal distribution of compounds labeled …

A new preclinical PET system based on dSiPMs, called DigiPET, is presented. The system is
based on thin monolithic scintillation crystals and exhibits superior spatial resolution at low …

The use of Monte Carlo simulations in diagnostic medical imaging research is widespread
due to its flexibility and ability to estimate quantities that are challenging to measure …

We present a study of the application of the Jagiellonian positron emission tomograph (J-
PET) for the registration of gamma quanta from decays of ortho-positronium (o-Ps). The J …

Technical advances towards high resolution PET imaging try to overcome the inherent
physical limitations to spatial resolution. Positrons travel in tissue until they annihilate into …

Monte Carlo (MC) simulations play an important role in radiotherapy, especially as a method
to evaluate physical properties that are either impossible or difficult to measure. For …

We have implemented and evaluated a framework for simulating simultaneous dynamic PET-
MR data using the anatomic and dynamic information from real MR acquisitions. PET …

Purpose SimPET (www. sim‐pet. org) is a free cloud‐based platform for the generation of
realistic brain positron emission tomography (PET) data. In this work, we introduce the key …