Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI

View ORCID ProfileAgah Karakuzu, View ORCID ProfileLabonny Biswas, View ORCID ProfileJulien Cohen-Adad, View ORCID ProfileNikola Stikov
doi: https://doi.org/10.1101/2021.12.27.474259
Agah Karakuzu
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
2Montréal Heart Institute, Montréal, QC, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Agah Karakuzu
  • For correspondence: agah.karakuzu@polymtl.ca
Labonny Biswas
3Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Labonny Biswas
Julien Cohen-Adad
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
4Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montréal, QC, Canada
5Mila - Quebec AI Institute, Montreal, QC, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Julien Cohen-Adad
Nikola Stikov
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
2Montréal Heart Institute, Montréal, QC, Canada
6Center for Advanced Interdisciplinary Research, Ss. Cyril and Methodius University, Skopje, North Macedonia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nikola Stikov
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading

Abstract

Purpose We developed an end-to-end workflow that starts with a vendor-neutral acquisition and tested the hypothesis that vendor-neutral sequences decrease inter-vendor variability of T1, MTR and MTsat measurements.

Methods We developed and deployed a vendor-neutral 3D spoiled gradient-echo (SPGR) sequence on three clinical scanners by two MRI vendors. We then acquired T1 maps on the ISMRM-NIST system phantom, as well as T1, MTR and MTsat maps in three healthy participants. We performed hierarchical shift function analysis in vivo to characterize the differences between scanners when the vendor-neutral sequence is used instead of commercial vendor implementations. Inter-vendor deviations were compared for statistical significance to test the hypothesis.

Results In the phantom, the vendor-neutral sequence reduced inter-vendor differences from 8 - 19.4% to 0.2 - 5% with an overall accuracy improvement, reducing ground truth T1 deviations from 7 - 11% to 0.2 - 4%. In vivo we found that the variability between vendors is significantly reduced (p = 0.015) for all maps (T1, MTR and MTsat) using the vendor-neutral sequence.

Conclusion We conclude that vendor-neutral workflows are feasible and compatible with clinical MRI scanners. The significant reduction of inter-vendor variability using vendor-neutral sequences has important implications for qMRI research and for the reliability of multicenter clinical trials.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Revised figure order and shortened the manuscript.

  • https://osf.io/5n3c

  • https://github.com/qMRLab/VENUS

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted April 18, 2022.
Download PDF
Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI
Agah Karakuzu, Labonny Biswas, Julien Cohen-Adad, Nikola Stikov
bioRxiv 2021.12.27.474259; doi: https://doi.org/10.1101/2021.12.27.474259
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI
Agah Karakuzu, Labonny Biswas, Julien Cohen-Adad, Nikola Stikov
bioRxiv 2021.12.27.474259; doi: https://doi.org/10.1101/2021.12.27.474259

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioengineering
Subject Areas
All Articles
  • Animal Behavior and Cognition (4378)
  • Biochemistry (9571)
  • Bioengineering (7082)
  • Bioinformatics (24821)
  • Biophysics (12595)
  • Cancer Biology (9944)
  • Cell Biology (14333)
  • Clinical Trials (138)
  • Developmental Biology (7942)
  • Ecology (12092)
  • Epidemiology (2067)
  • Evolutionary Biology (15979)
  • Genetics (10914)
  • Genomics (14726)
  • Immunology (9859)
  • Microbiology (23633)
  • Molecular Biology (9472)
  • Neuroscience (50815)
  • Paleontology (369)
  • Pathology (1538)
  • Pharmacology and Toxicology (2677)
  • Physiology (4005)
  • Plant Biology (8651)
  • Scientific Communication and Education (1508)
  • Synthetic Biology (2389)
  • Systems Biology (6420)
  • Zoology (1345)