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 …

We present the Core Imaging Library (CIL), an open-source Python framework for
tomographic imaging with particular emphasis on reconstruction of challenging datasets …

Open‐source practices and resources in magnetic resonance imaging (MRI) have increased
substantially in recent years. This trend started with software and data being published open …

The newly developed core imaging library (CIL) is a flexible plug and play library for
tomographic imaging with a specific focus on iterative reconstruction. CIL provides building …

Today Time-of-Flight (TOF), in PET scanners, assumes a single, well-defined timing
resolution for all events. However, recent BGO-Cherenkov detectors, combining prompt …

The concept of structure engineering has been proposed for exploring the next generation of
radiation detectors with improved performance. A TOF-PET geometry with heterostructured …

Score-based generative models have demonstrated highly promising results for medical
image reconstruction tasks in magnetic resonance imaging or computed tomography …

This work demonstrates how computational and physical modelling of the positron emission
tomography (PET) image acquisition process for a state-of-the-art integrated PET and …

Objective. Scattered events add bias in the reconstructed positron emission tomography
(PET) images. Our objective is the accurate estimation of the scatter distribution, required for …

SIRF is a powerful PET/MR image reconstruction research tool for processing data and
developing new algorithms. In this research, new developments to SIRF are presented, with …