Literature DB >> 22850571

Feasibility of grey matter and white matter segmentation of the upper cervical cord in vivo: a pilot study with application to magnetisation transfer measurements.

M C Yiannakas1, H Kearney, R S Samson, D T Chard, O Ciccarelli, D H Miller, C A M Wheeler-Kingshott.   

Abstract

Spinal cord pathology can be functionally very important in neurological disease. Pathological studies have demonstrated the involvement of spinal cord grey matter (GM) and white matter (WM) in several diseases, although the clinical relevance of abnormalities detected histopathologically is difficult to assess without a reliable way to assess cord GM and WM in vivo. In this study, the feasibility of GM and WM segmentation was investigated in the upper cervical spinal cord of 10 healthy subjects, using high-resolution images acquired with a commercially available 3D gradient-echo pulse sequence at 3T. For each healthy subject, tissue-specific (i.e. WM and GM) cross-sectional areas were segmented and total volumes calculated from a 15 mm section acquired at the level of C2-3 intervertebral disc and magnetisation transfer ratio (MTR) values within the extracted volumes were also determined, as an example of GM and WM quantitative measurements in the cervical cord. Mean (± SD) total cord cross-sectional area (TCA) and total cord volume (TCV) of the section studied across 10 healthy subjects were 86.9 (± 7.7) mm(2) and 1302.8 (± 115) mm(3), respectively; mean (±SD) total GM cross-sectional area (TGMA) and total GM volume (TGMV) were 14.6 (± 1.1) mm(2) and 218.3 (± 16.8) mm(3), respectively; mean (± SD) GM volume fraction (GMVF) was 0.17 (± 0.01); mean (± SD) MTR of the total WM volume (WM-MTR) was 51.4 (± 1.5) and mean (± SD) MTR of the total GM volume (GM-MTR) was 49.7 (± 1.6). The mean scan-rescan, intra- and inter-observer % coefficient of variation for measuring the TCA were 0.7%, 0.5% and 0.5% and for measuring the TGMA were 6.5%, 5.4% and 12.7%. The difference between WM-MTR and GM-MTR was found to be statistically significant (p=0.00006). This study has shown that GM and WM segmentation in the cervical cord is possible and the MR imaging protocol and analysis method presented here in healthy controls can be potentially extended to study the cervical cord in disease states, with the option to explore further quantitative measurements alongside MTR.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22850571     DOI: 10.1016/j.neuroimage.2012.07.048

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  34 in total

1.  Construction of an in vivo human spinal cord atlas based on high-resolution MR images at cervical and thoracic levels: preliminary results.

Authors:  Manuel Taso; Arnaud Le Troter; Michaël Sdika; Jean-Philippe Ranjeva; Maxime Guye; Monique Bernard; Virginie Callot
Journal:  MAGMA       Date:  2013-09-20       Impact factor: 2.310

2.  Automatic Spinal Cord Gray Matter Quantification: A Novel Approach.

Authors:  C Tsagkas; A Horvath; A Altermatt; S Pezold; M Weigel; T Haas; M Amann; L Kappos; T Sprenger; O Bieri; P Cattin; K Parmar
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-22       Impact factor: 3.825

3.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

4.  Robust GM/WM segmentation of the spinal cord with iterative non-local statistical fusion.

Authors:  Andrew J Asman; Seth A Smith; Daniel S Reich; Bennett A Landman
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

Review 5.  Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.

Authors:  Tim Sinnecker; Cristina Granziera; Jens Wuerfel; Regina Schlaeger
Journal:  Curr Treat Options Neurol       Date:  2018-04-20       Impact factor: 3.598

6.  Intersubject Variability and Normalization Strategies for Spinal Cord Total Cross-Sectional and Gray Matter Areas.

Authors:  Nico Papinutto; Carlo Asteggiano; Antje Bischof; Tristan J Gundel; Eduardo Caverzasi; William A Stern; Stefano Bastianello; Stephen L Hauser; Roland G Henry
Journal:  J Neuroimaging       Date:  2019-09-30       Impact factor: 2.486

Review 7.  Segmentation of the human spinal cord.

Authors:  Benjamin De Leener; Manuel Taso; Julien Cohen-Adad; Virginie Callot
Journal:  MAGMA       Date:  2016-01-02       Impact factor: 2.310

8.  Groupwise multi-atlas segmentation of the spinal cord's internal structure.

Authors:  Andrew J Asman; Frederick W Bryan; Seth A Smith; Daniel S Reich; Bennett A Landman
Journal:  Med Image Anal       Date:  2014-02-05       Impact factor: 8.545

9.  2D phase-sensitive inversion recovery imaging to measure in vivo spinal cord gray and white matter areas in clinically feasible acquisition times.

Authors:  Nico Papinutto; Regina Schlaeger; Valentina Panara; Eduardo Caverzasi; Sinyeob Ahn; Kevin J Johnson; Alyssa H Zhu; William A Stern; Gerhard Laub; Stephen L Hauser; Roland G Henry
Journal:  J Magn Reson Imaging       Date:  2014-12-08       Impact factor: 4.813

10.  Spinal cord gray matter atrophy correlates with multiple sclerosis disability.

Authors:  Regina Schlaeger; Nico Papinutto; Valentina Panara; Carolyn Bevan; Iryna V Lobach; Monica Bucci; Eduardo Caverzasi; Jeffrey M Gelfand; Ari J Green; Kesshi M Jordan; William A Stern; H-Christian von Büdingen; Emmanuelle Waubant; Alyssa H Zhu; Douglas S Goodin; Bruce A C Cree; Stephen L Hauser; Roland G Henry
Journal:  Ann Neurol       Date:  2014-08-21       Impact factor: 10.422

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