Free-Running Cardiac and Respiratory Motion-Resolved Imaging: A Paradigm Shift for Managing Motion in Cardiac MRI?

Details

Serval ID
serval:BIB_36CCF34FAECC
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Free-Running Cardiac and Respiratory Motion-Resolved Imaging: A Paradigm Shift for Managing Motion in Cardiac MRI?
Journal
Diagnostics
Author(s)
Holtackers R.J., Stuber M.
ISSN
2075-4418 (Print)
ISSN-L
2075-4418
Publication state
Published
Issued date
03/09/2024
Peer-reviewed
Oui
Volume
14
Number
17
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Abstract
Cardiac magnetic resonance imaging (MRI) is widely used for non-invasive assessment of cardiac morphology, function, and tissue characteristics due to its exquisite soft-tissue contrast. However, it remains time-consuming and requires proficiency, making it costly and limiting its widespread use. Traditional cardiac MRI is inefficient as signal acquisition is often limited to specific cardiac phases and requires complex view planning, parameter adjustments, and management of both respiratory and cardiac motion. Recent efforts have aimed to make cardiac MRI more efficient and accessible. Among these innovations, the free-running framework enables 5D whole-heart imaging without the need for an electrocardiogram signal, respiratory breath-holding, or complex planning. It uses a fully self-gated approach to extract cardiac and respiratory signals directly from the acquired image data, allowing for more efficient coverage in time and space without the need for electrocardiogram gating, triggering, navigators, or breath-holds. This review provides a comprehensive overview of the free-running framework, detailing its history, concepts, recent improvements, and clinical applications.
Keywords
5D, CMR, cardiac MRI, free-breathing, free-running, motion-resolved, self-gating
Pubmed
Web of science
Open Access
Yes
Create date
20/09/2024 14:42
Last modification date
21/09/2024 6:10
Usage data