Literature DB >> 12112499

In vivo magnetic resonance imaging of the human cervical spinal cord at 3 Tesla.

Jeffrey R Korzan1, Monica Gorassini, Derek Emery, Zaki A Taher, Christian Beaulieu.   

Abstract

PURPOSE: To demonstrate the feasibility of obtaining high-quality magnetic resonance (MR) images of the human cervical spinal cord in vivo at a magnetic field strength of 3 T and to optimize the signal contrast between gray matter, white matter, and cerebrospinal fluid (CSF) on 2D gradient recalled echo (GRE) images of the cervical spinal cord.
MATERIALS AND METHODS: Using a custom-built, anatomically molded radio frequency (RF) surface coil, the repetition time and flip angle of a 2D GRE sequence were systematically varied in five volunteers to assess tissue contrast in the cervical spinal cord.
RESULTS: The 2D GRE parameters for an optimal balance between gray-white matter and CSF-white matter contrast at 3 T were determined to be a time-to-repetition (TR) of 2000 msec and a flip angle of 45 degrees, with the constant short time-to-echo (TE) of 12 msec used in this study. Excellent tissue contrast and visualization of the internal anatomy of the spinal cord was demonstrated reproducibly in eight subjects using these optimal parameters.
CONCLUSION: This study demonstrates that imaging the cervical spinal cord and delineating internal spinal cord structures such as gray and white matter is feasible at 3 T. Copyright 2002 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2002        PMID: 12112499     DOI: 10.1002/jmri.10137

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  Measurement of T1 and T2 in the cervical spinal cord at 3 tesla.

Authors:  Seth A Smith; Richard A E Edden; Jonathan A D Farrell; Peter B Barker; Peter C M Van Zijl
Journal:  Magn Reson Med       Date:  2008-07       Impact factor: 4.668

2.  Fast and accurate semi-automated segmentation method of spinal cord MR images at 3T applied to the construction of a cervical spinal cord template.

Authors:  Mohamed-Mounir El Mendili; Raphaël Chen; Brice Tiret; Noémie Villard; Stéphanie Trunet; Mélanie Pélégrini-Issac; Stéphane Lehéricy; Pierre-François Pradat; Habib Benali
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

Review 3.  Neuroimaging to investigate multisystem involvement and provide biomarkers in amyotrophic lateral sclerosis.

Authors:  Pierre-François Pradat; Mohamed-Mounir El Mendili
Journal:  Biomed Res Int       Date:  2014-04-17       Impact factor: 3.411

  3 in total

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