Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which
aims primarily at local image contrast. It provides specific physical parameters related to the …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

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

Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with
recent breakthroughs applying deep‐learning models for data acquisition, classification …

Motion represents one of the major challenges in magnetic resonance imaging (MRI). Since
the MR signal is acquired in frequency space, any motion of the imaged object leads to …

Magnetic Resonance Imaging (MRI) is a powerful medical imaging modality, but
unfortunately suffers from long scan times which, aside from increasing operational costs …

Background Intra‐scan rigid‐body motion is a costly and ubiquitous problem in clinical
magnetic resonance imaging (MRI) of the head. Purpose State‐of‐the‐art methods for …

Physiological and physical motions of the subjects, eg, patients, are the primary sources of
image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring …

Motion artifacts deteriorate the quality of magnetic resonance (MR) images. This study
proposes a new method to detect phase-encoding (PE) lines corrupted by motion and …

The suppression of motion artefacts from MR images is a challenging task. The purpose of
this paper was to develop a standalone novel technique to suppress motion artefacts in MR …