Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …

The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …

We present MRiLab, a new comprehensive simulator for large-scale realistic MRI
simulations on a regular PC equipped with a modern graphical processing unit (GPU) …

Tomographic image reconstruction is a computationally demanding task, even more so
when advanced models are used to describe a more complete and accurate picture of the …

With the increased popularity of multi-GPU nodes in modern HPC clusters, it is imperative to
develop matching programming paradigms for their efficient utilization. In order to take …

Purpose To develop an open‐source, high‐performance, easy‐to‐use, extensible, cross‐
platform, and general MRI simulation framework (Koma). Methods Koma was developed …

Accurate characterization of in utero human brain maturation is critical as it involves complex
and interconnected structural and functional processes that may influence health later in life …

The aim of this study was to develop a deep neural network for respiratory motion
compensation in free‐breathing cine MRI and evaluate its performance. An adversarial …

A numerical approach is presented to efficiently simulate time-resolved 3D phase-contrast
Magnetic resonance Imaging (or 4D Flow MRI) acquisitions under realistic flow conditions …

Purpose An analytical approach to Bloch simulations for MRI sequences is introduced that
enables time efficient calculations of signals free of Monte‐Carlo noise, while providing full …