Ultrahigh-resolution quantitative spinal cord MRI at 9.4T

Ole Geldschläger, Dario Bosch, Nikolai I. Avdievich, Anke Henning

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To present the results of the first human spinal cord in vivo MRI scans at 9.4T. Methods: A human brain coil was used to image the human spinal cord at 9.4T. All anatomical images were acquired with a T2*-weighted gradient-echo sequence. A comparison of the influence of four different B0 shimming routines on the image quality was performed. Intrinsic signal-to-noise-ratio maps were determined using a pseudo-multiple replica approach. Measurements with different echo times were compared and processed to one multiecho data image combination image. Based on the multiecho acquisitions, T2*-relaxation time maps were calculated. Algorithmic spinal cord detection and gray matter/white matter segmentation were tested. Results: An echo time between 9 and 13.8 ms compromised best between gray matter/white matter contrast and image quality. A maximum in-plane resolution of 0.15 × 0.15 mm2 was achieved for anatomical images. These images offered excellent image quality and made small structures of the spinal cord visible. The scanner vendor implemented B0 shimming routine performed best during this work. Intrinsic signal-to-noise-ratio values of between 6600 and 8060 at the upper cervical spinal cord were achieved. Detection and segmentation worked reliably. An average T2*-time of 24.88 ms ± 6.68 ms for gray matter and 19.37 ms ± 8.66 ms for white matter was calculated. Conclusion: The proposed human brain coil can be used to image the spinal cord. The maximum in-plane resolution in this work was higher compared with the 7T results from the literature. The 9.4T acquisitions made the small structures of the spinal cord clearly visible.

Original languageEnglish (US)
Pages (from-to)1013-1027
Number of pages15
JournalMagnetic resonance in medicine
Volume85
Issue number2
DOIs
StatePublished - Feb 1 2021

Keywords

  • 9.4 Tesla
  • high-field magnetic resonance imaging
  • relaxometry mapping
  • segmentation
  • spinal cord magnetic resonance imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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