IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms12445.html
   My bibliography  Save this article

Multiparametric imaging with heterogeneous radiofrequency fields

Author

Listed:
  • Martijn A. Cloos

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine)

  • Florian Knoll

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine)

  • Tiejun Zhao

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine
    Siemens Medical Solutions USA Inc.)

  • Kai T. Block

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine)

  • Mary Bruno

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine)

  • Graham C. Wiggins

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine)

  • Daniel K. Sodickson

    (Bernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, New York University School of Medicine)

Abstract

Magnetic resonance imaging (MRI) has become an unrivalled medical diagnostic technique able to map tissue anatomy and physiology non-invasively. MRI measurements are meticulously engineered to control experimental conditions across the sample. However, residual radiofrequency (RF) field inhomogeneities are often unavoidable, leading to artefacts that degrade the diagnostic and scientific value of the images. Here we show that, paradoxically, these artefacts can be eliminated by deliberately interweaving freely varying heterogeneous RF fields into a magnetic resonance fingerprinting data-acquisition process. Observations made based on simulations are experimentally confirmed at 7 Tesla (T), and the clinical implications of this new paradigm are illustrated with in vivo measurements near an orthopaedic implant at 3T. These results show that it is possible to perform quantitative multiparametric imaging with heterogeneous RF fields, and to liberate MRI from the traditional struggle for control over the RF field uniformity.

Suggested Citation

  • Martijn A. Cloos & Florian Knoll & Tiejun Zhao & Kai T. Block & Mary Bruno & Graham C. Wiggins & Daniel K. Sodickson, 2016. "Multiparametric imaging with heterogeneous radiofrequency fields," Nature Communications, Nature, vol. 7(1), pages 1-10, November.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12445
    DOI: 10.1038/ncomms12445
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms12445
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms12445?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gastao Cruz & Torben Schneider & Tom Bruijnen & Andreia S Gaspar & René M Botnar & Claudia Prieto, 2018. "Accelerated magnetic resonance fingerprinting using soft-weighted key-hole (MRF-SOHO)," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12445. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.