Replacement of a CT-simulator with an MRI-simulator within a radiation oncology department

Body composition measurements, such as adipose tissue compartments, muscle volumes, and muscle tissue composition are increasingly important in research and clinical context. This article introduces a protocol for robust neck-to-knee Dixon VIBE-based fat and water images at 3T. [...]

How Blended Learning Can Provide Answers for Training in the COVID-19 Pandemic: Experience from France

Mixing different training formats (blended learning) is a key feature of learning today, and it has become even more important since the COVID-19 pandemic began. [...]

Initial Clinical Experience with an Iterative Denoising Algorithm Applied to Reduced-data 2D Turbo Spin Echo Acquisitions

Image quality in standard 2D MRI sequences, accelerated in simulation beyond the threshold of standard acceptable noise levels, can be substantially improved by applying an iterative denoising algorithm using supplementary information about the image noise level. [...]

Deep Resolve – Mobilizing the Power of Networks

Deep Resolve Gain and Deep Resolve Sharp introduce targeted, iterative denoising and deep learning reconstruction into clinical imaging. These technologies enable us to reduce acquisition times and improve image quality simultaneously. [...]

MAGNETOM Free.Max: Access to MRI – How to Make it Big Inside and Small Outside

This overview shows how a complete design overhaul of the magnet and gradient system together with the use of new imaging and reconstruction techniques results in an MRI system that achieves somewhat contradictory goals: A large 80 cm bore for the patient with a scanner that delivers diagnostic image quality AND easy installation with a small physical footprint and low connection power. [...]