Related Experiment Video
Updated: Mar 11, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Accelerated Spine Magnetic Resonance Imaging: Techniques and Practical Implementation for Routine Clinical Imaging
1Department of Radiology, Balgrist University Hospital, Zurich, Switzerland.
Abstract:
Spine magnetic resonance imaging is among the most frequently performed examinations in clinical radiology and places substantial demands on workflow efficiency and image quality. Over the past 20 years, acquisition times have been markedly reduced through a combination of optimized sequence parameters, advanced acceleration techniques, and modern image reconstruction methods.
Abstract:
This article provides an overview of contemporary strategies for accelerating two-dimensional spine magnetic resonance imaging, with a focus on techniques that are robust and feasible in routine clinical practice. Classical parameter optimization, parallel imaging, compressed sensing, simultaneous multislice acquisition, and image reconstruction based on artificial intelligence are discussed with regard to their technical principles, advantages, and limitations.
Abstract:
Particular emphasis is placed on practical protocol integration and a "how we do it" approach, illustrating how these methods can be combined to achieve substantial time savings while preserving diagnostic confidence. When applied judiciously, modern acceleration and reconstruction techniques enable efficient, high-quality spine magnetic resonance imaging and are particularly well suited for this high-volume clinical application.
Related Concept Videos
Magnetic Resonance Imaging
Imaging Studies for Cardiovascular System IV: CMRI
Imaging Studies I: CT and MRI
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies IV: Magnetic Resonance Imaging

