Late Gadolinium Enhancement Cardiac Magnetic Resonance Imaging: From Basic Concepts to Emerging Methods

Robert J. Holtackers*, Tilman Emrich, René M. Botnar, M. Eline Kooi, Joachim E. Wildberger, K. F. Kreitner

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

9 Citations (Scopus)


Background: Late gadolinium enhancement (LGE) is a widely used cardiac magnetic resonance imaging (MRI) technique to diagnose a broad range of ischemic and non-ischemic cardiomyopathies. Since its development and validation against histology already more than two decades ago, the clinical utility of LGE and its span of applications have increased considerably. Methods: In this review we will present the basic concepts of LGE imaging and its diagnostic and prognostic value, elaborate on recent developments and emerging methods, and finally discuss future prospects. Results: Continuous developments in 3 D imaging methods, motion correction techniques, water/fat-separated imaging, dark-blood methods, and scar quantification improved the performance and further expanded the clinical utility of LGE imaging. Conclusion: LGE imaging is the current noninvasive reference standard for the assessment of myocardial viability. Improvements in spatial resolution, scar-to-blood contrast, and water/fat-separated imaging further strengthened its position. Key Points: LGE MRI is the reference standard for the noninvasive assessment of myocardial viability LGE MRI is used to diagnose a broad range of non-ischemic cardiomyopathies in everyday clinical practice. Improvements in spatial resolution and scar-to-blood contrast further strengthened its position Continuous developments improve its performance and further expand its clinical utility

Original languageEnglish
Pages (from-to)491-504
Number of pages14
JournalRoFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren
Issue number5
Early online date23 Feb 2022
Publication statusPublished - 2022


  • cardiac
  • heart
  • MR imaging
  • tissue characterization


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