IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0189872.html
   My bibliography  Save this article

Variance components associated with long-echo-time MR spectroscopic imaging in human brain at 1.5T and 3T

Author

Listed:
  • Michael J Thrippleton
  • Jehill P Parikh
  • Scott I K Semple
  • Bridget A Harris
  • Peter J D Andrews
  • Joanna M Wardlaw
  • Ian Marshall

Abstract

Object: Magnetic resonance spectroscopic imaging (MRSI) is increasingly used in medicine and clinical research. Previous reliability studies have used small samples and focussed on limited aspects of variability; information regarding 1.5T versus 3T performance is lacking. The aim of the present work was to measure the inter-session, intra-session, inter-subject, within-brain and residual variance components using both 1.5T and 3T MR scanners. Materials and methods: Eleven healthy volunteers were invited for MRSI scanning on three occasions at both 1.5T and 3T, with four scans acquired at each visit. We measured variance components, correcting for grey matter and white matter content of voxels, of metabolite peak areas and peak area ratios. Results: Residual variance was in general the largest component at 1.5T (8.6–24.6%), while within-brain variation was the largest component at 3T (12.0–24.7%). Inter-subject variation was around 5%, while inter- and intra-session variance were both generally small. Conclusion: Multiple variance contributions associated with MRSI measurements were quantified and the performance of 1.5T and 3T MRI scanners compared using data from the same group of subjects. Residual error is much lower at 3T, but other variance components remain important.

Suggested Citation

  • Michael J Thrippleton & Jehill P Parikh & Scott I K Semple & Bridget A Harris & Peter J D Andrews & Joanna M Wardlaw & Ian Marshall, 2017. "Variance components associated with long-echo-time MR spectroscopic imaging in human brain at 1.5T and 3T," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-11, December.
  • Handle: RePEc:plo:pone00:0189872
    DOI: 10.1371/journal.pone.0189872
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0189872
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0189872&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0189872?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
    ---><---

    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:plo:pone00:0189872. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.