Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter

  • Julien Cohen-Adad
  • , Eva Alonso-Ortiz
  • , Stephanie Alley
  • , Maria Marcella Lagana
  • , Francesca Baglio
  • , Signe Johanna Vannesjo
  • , Haleh Karbasforoushan
  • , Maryam Seif
  • , Alan C. Seifert
  • , Junqian Xu
  • , Joo Won Kim
  • , René Labounek
  • , Lubomír Vojtíšek
  • , Marek Dostál
  • , Jan Valošek
  • , Rebecca S. Samson
  • , Francesco Grussu
  • , Marco Battiston
  • , Claudia A.M. Gandini Wheeler-Kingshott
  • , Marios C. Yiannakas
  • Guillaume Gilbert, Torben Schneider, Brian Johnson, Ferran Prados

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Purpose: Spinal cord gray-matter imaging is valuable for a number of applications, but remains challenging. The purpose of this work was to compare various MRI protocols at 1.5 T, 3 T, and 7 T for visualizing the gray matter. Methods: In vivo data of the cervical spinal cord were collected from nine different imaging centers. Data processing consisted of automatically segmenting the spinal cord and its gray matter and co-registering back-to-back scans. We computed the SNR using two methods (SNR_single using a single scan and SNR_diff using the difference between back-to-back scans) and the white/gray matter contrast-to-noise ratio per unit time. Synthetic phantom data were generated to evaluate the metrics performance. Experienced radiologists qualitatively scored the images. We ran the same processing on an open-access multicenter data set of the spinal cord MRI (N = 267 participants). Results: Qualitative assessments indicated comparable image quality for 3T and 7T scans. Spatial resolution was higher at higher field strength, and image quality at 1.5 T was found to be moderate to low. The proposed quantitative metrics were found to be robust to underlying changes to the SNR and contrast; however, the SNR_single method lacked accuracy when there were excessive partial-volume effects. Conclusion: We propose quality assessment criteria and metrics for gray-matter visualization and apply them to different protocols. The proposed criteria and metrics, the analyzed protocols, and our open-source code can serve as a benchmark for future optimization of spinal cord gray-matter imaging protocols.

Original languageEnglish
Pages (from-to)849-859
Number of pages11
JournalMagnetic Resonance in Medicine
Volume88
Issue number2
DOIs
StatePublished - Aug 2022

Keywords

  • MRI
  • acquisition
  • gray matter
  • image quality
  • protocol
  • spinal cord

Fingerprint

Dive into the research topics of 'Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter'. Together they form a unique fingerprint.

Cite this