Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS,
which can be compared across CNS regions, patients, and centres. In patients with multiple …

Over the past decades, MRI has become increasingly important for diagnosing and
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …

OBJECTIVE. The purpose of this article is to provide a practice-focused review of the clinical
application of advanced acceleration techniques for rapid musculoskeletal MRI …

Musculoskeletal magnetic resonance imaging (MRI) is a careful negotiation between spatial,
temporal, and contrast resolution, which builds the foundation for diagnostic performance …

Following the success of deep learning in a wide range of applications, neural network-
based machine-learning techniques have received significant interest for accelerating …

Idiopathic inflammatory myopathies (IIMs) are a group of acquired muscle diseases with
muscle inflammation, weakness, and other extra-muscular manifestations. IIMs can …

Purpose To develop a new technique that enables simultaneous quantification of whole‐
brain T1, T2,, as well as susceptibility and synthesis of six contrast‐weighted images in a …

Objective To investigate the utility of an automatic deep learning (DL) method for
segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against …

Conventional magnetic resonance imaging (MRI) is hampered by long scan times and only
qualitative image contrasts that prohibit a direct comparison between different systems. To …

This review summarizes the existing techniques and methods used to generate synthetic
contrasts from magnetic resonance imaging data focusing on musculoskeletal magnetic …