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Cardiac Magnetic Resonance Fingerprinting: Potential Clinical Applications

  • Cardiac PET, CT, and MRI (P Cremer, Section Editor)
  • Published:
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Abstract

Purpose of Review

Cardiac magnetic resonance fingerprinting (cMRF) has developed as a technique for rapid, multi-parametric tissue property mapping that has potential to both improve cardiac MRI exam efficiency and expand the information captured. In this review, we describe the cMRF technique, summarize technical developments and in vivo reports, and highlight potential clinical applications.

Recent Findings

Technical developments in cMRF continue to progress rapidly, including motion compensated reconstruction, additional tissue property quantification, signal time course analysis, and synthetic LGE image generation. Such technical developments can enable simplified CMR protocols by combining multiple evaluations into a single protocol and reducing the number of breath-held scans. cMRF continues to be reported for use in a range of pathologies; however barriers to clinical implementation remain.

Summary

Technical developments are described in this review, followed by a focus on potential clinical applications that they may support. Clinical translation of cMRF could shorten protocols, improve CMR accessibility, and provide additional information as compared to conventional cardiac parametric mapping methods. Current needs for clinical implementation are discussed, as well as how those needs may be met in order to bring cMRF from its current research setting to become a viable tool for patient care.

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Data Availability

The data that support this review follow the availability policies of referenced articles or are available upon reasonable request to the corresponding author, DHK. The data that require a request are not publicly available due to policies to protect the privacy of study participants

References

Papers of particular interest, published recently, have been highlighted as: • Of importance

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Acknowledgements

BE acknowledges support from NIH/NIA K25AG070321, Philips Healthcare, and Siemens Healthineers. CP acknowledges support from Millennium Institute ICN2021_004 and Fondecyt 1210637. JH acknowledges support from Michigan Institute for Clinical & Health Research (MICHR) Grant UL1TR002240, Siemens Healthineers, and NIH/NHLBI R01HL163030. NS acknowledges support from grants from Siemens Healthineers, outside the submitted work. In addition, NS has a patent 8,723,518 with royalties paid to Siemens Healthineers.

Funding

W.H. Wilson Tang reports grants from the National Institutes of Health; and personal fees from Sequana Medical, Owkin Inc., preCARDIA, Relypsa Inc. Cardiol Therapeutics, Genomics plc, Zehna Therapeutics LLC, Renovacor Inc., Boston Scientific, WhiteSwell, Springer Nature, and the American Board of Internal Medicine, outside the submitted work.

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Authors and Affiliations

  1. Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA

    Xiaojuan Li

  2. Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA

    Michael Yim, Scott D. Flamm, W. H. Wilson Tang & Deborah H. Kwon

  3. Department of Radiology, University of Michigan, Ann Arbor, MI, USA

    Jesse I. Hamilton & Nicole Seiberlich

  4. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA

    Jesse I. Hamilton & Nicole Seiberlich

  5. School of Biomedical Engineering and Imaging Sciences, King’s College London, London, England, UK

    Gastao José Lima da Cruz & Claudia Prieto

  6. Imaging Institute, Cleveland Clinic, Cleveland, OH, USA

    Brendan L. Eck, Scott D. Flamm & Deborah H. Kwon

  7. School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

    Claudia Prieto

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  1. Brendan L. Eck
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Correspondence to Deborah H. Kwon.

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Eck, B.L., Yim, M., Hamilton, J.I. et al. Cardiac Magnetic Resonance Fingerprinting: Potential Clinical Applications. Curr Cardiol Rep 25, 119–131 (2023). https://doi.org/10.1007/s11886-022-01836-9

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