Spatial Normalization and Regional Assessment of Cord Atrophy: Voxel-Based Analysis of Cervical Cord 3D T1-Weighted Images

References

1. 1.↵
   1. Agosta F,
   2. Filippi M

   . MRI of spinal cord in multiple sclerosis. J Neuroimaging 2007; 17: 46S–49S

   CrossRefPubMedWeb of Science
2. 2.↵
   1. Bakshi R,
   2. Thompson AJ,
   3. Rocca MA,
   4. et al

   . MRI in multiple sclerosis: current status and future prospects. Lancet Neurol 2008; 7: 615– 25

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Turner MR,
   2. Grosskreutz J,
   3. Kassubek J,
   4. et al

   . Towards a neuroimaging biomarker for amyotrophic lateral sclerosis. Lancet Neurol 2011; 10: 400– 03

   CrossRefPubMedWeb of Science
4. 4.↵
   1. Wingerchuk DM

   . Neuromyelitis optica. Int MS J 2006; 13: 42– 50

   PubMed
5. 5.↵
   1. Losseff NA,
   2. Webb SL,
   3. O'Riordan JI,
   4. et al

   . Spinal cord atrophy and disability in multiple sclerosis: a new reproducible and sensitive MRI method with potential to monitor disease progression. Brain 1996; 119: 701– 08

   Abstract/FREE Full Text
6. 6.↵
   1. Tench CR,
   2. Morgan PS,
   3. Constantinescu CS

   . Measurement of cervical spinal cord cross-sectional area by MRI using edge detection and partial volume correction. J Magn Reson Imaging 2005; 21: 197– 203

   CrossRefPubMed
7. 7.↵
   1. Horsfield MA,
   2. Sala S,
   3. Neema M,
   4. et al

   . Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis. Neuroimage 2010; 50: 446– 55

   CrossRefPubMedWeb of Science
8. 8.↵
   1. Rocca MA,
   2. Horsfield MA,
   3. Sala S,
   4. et al

   . A multicenter assessment of cervical cord atrophy among MS clinical phenotypes. Neurology 2011; 76: 2096– 102

   Abstract/FREE Full Text
9. 9.↵
   1. Good CD,
   2. Johnsrude I,
   3. Ashburner J,
   4. et al

   . Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains. Neuroimage 2001; 14: 685– 700

   CrossRefPubMedWeb of Science
10. 10.↵
    1. Ashburner J

    . A fast diffeomorphic image registration algorithm. Neuroimage 2007; 38: 95– 113

    CrossRefPubMedWeb of Science
11. 11.↵
    1. Jurkiewicz MT,
    2. Crawley AP,
    3. Verrier MC,
    4. et al

    . Somatosensory cortical atrophy after spinal cord injury: a voxel-based morphometry study. Neurology 2006; 66: 762– 64

    Abstract/FREE Full Text
12. 12.↵
    1. Freund P,
    2. Weiskopf N,
    3. Ward NS,
    4. et al

    . Disability, atrophy and cortical reorganization following spinal cord injury. Brain 2011; 134: 1610– 22

    Abstract/FREE Full Text
13. 13.↵
    1. Stroman PW,
    2. Figley CR,
    3. Cahill CM

    . Spatial normalization, bulk motion correction and coregistration for functional magnetic resonance imaging of the human cervical spinal cord and brainstem. Magn Reson Imaging 2008; 26: 809– 14

    CrossRefPubMed
14. 14.↵
    1. Hartkens T,
    2. Rueckert D,
    3. Schnabel JA

    . VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Non-Rigid Registration of Single- and Multimodal 3D Images. Berlin, Germany: Springer-Verlag; 2002
15. 15.↵
    1. Worsley KJ,
    2. Marrett S,
    3. Neelin P,
    4. et al

    . A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp 1996; 4: 58– 73

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Ashburner J,
    2. Friston KJ

    . Why voxel-based morphometry should be used. Neuroimage 2001; 14: 1238– 43

    CrossRefPubMedWeb of Science
17. 17.↵
    1. Jones DK,
    2. Symms MR,
    3. Cercignani M,
    4. et al

    . The effect of filter size on VBM analyses of DT-MRI data. Neuroimage 2005; 26: 546– 54

    CrossRefPubMedWeb of Science
18. 18.↵
    1. Rosenfeld A,
    2. Kak AC

    . Digital Picture Processing. Vol 2. Orlando, Florida: Academic Press; 1982
19. 19.↵
    1. Worsley KJ,
    2. Evans AC,
    3. Marrett S,
    4. et al

    . A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab 1992; 12: 900– 18

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Tzourio-Mazoyer N,
    2. Landeau B,
    3. Papathanassiou D,
    4. et al

    . Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002; 15: 273– 89

    CrossRefPubMedWeb of Science
21. 21.↵
    1. Eickhoff SB,
    2. Stephan KE,
    3. Mohlberg H,
    4. et al

    . A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 2005; 25: 1325– 35

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Mazziotta J,
    2. Toga A,
    3. Evans A,
    4. et al

    . A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos Trans R Soc Lond B Biol Sci 2001; 356: 1293– 322

    Abstract/FREE Full Text
23. 23.↵
    1. Morrison LR

    . The Effect of Advancing Age upon the Human Spinal Cord. Cambridge, Massachusetts: Harvard University Press; 1959
24. 24.↵
    1. Terao S,
    2. Sobue G,
    3. Hashizume Y,
    4. et al

    . Age-related changes in human spinal ventral horn cells with special reference to the loss of small neurons in the intermediate zone: a quantitative analysis. Acta Neuropathol 1996; 92: 109– 14

    CrossRefPubMed
25. 25.↵
    1. Cruz-Sanchez FF,
    2. Moral A,
    3. Tolosa E,
    4. et al

    . Evaluation of neuronal loss, astrocytosis and abnormalities of cytoskeletal components of large motor neurons in the human anterior horn in aging. J Neural Transm 1998; 105: 689– 701

    CrossRefPubMedWeb of Science
26. 26.↵
    1. Ishikawa M,
    2. Matsumoto M,
    3. Fujimura Y,
    4. et al

    . Changes of cervical spinal cord and cervical spinal canal with age in asymptomatic subjects. Spinal Cord 2003; 41: 159– 63

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Yanase M,
    2. Matsuyama Y,
    3. Hirose K,
    4. et al

    . Measurement of the cervical spinal cord volume on MRI. J Spinal Disord Tech 2006; 19: 125– 29

    CrossRefPubMed
28. 28.↵
    1. Sherman JL,
    2. Nassaux PY,
    3. Citrin CM

    . Measurements of the normal cervical spinal cord on MR imaging. AJNR Am J Neuroradiol 1990; 11: 369– 72

    Abstract/FREE Full Text
29. 29.↵
    1. Healy BC,
    2. Arora A,
    3. Hayden DL,
    4. et al

    . Approaches to normalization of spinal cord volume: application to multiple sclerosis. J Neuroimaging 2012; 22: e12– 9

    CrossRefPubMedWeb of Science
30. 30.↵
    1. White ML,
    2. Zhang Y,
    3. Healey K

    . Cervical spinal cord multiple sclerosis: evaluation with 2D multi-echo recombined gradient echo MR imaging. J Spinal Cord Med 2011; 34: 93– 98

    CrossRefPubMed
31. 31.↵
    1. Smith SA,
    2. Golay X,
    3. Fatemi A,
    4. et al

    . Magnetization transfer weighted imaging in the upper cervical spinal cord using cerebrospinal fluid as intersubject normalization reference (MTCSF imaging). Magn Reson Med 2005; 54: 201– 06

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Ashburner J,
    2. Friston KJ

    . Unified segmentation. Neuroimage 2005; 26: 839– 51

    CrossRefPubMedWeb of Science
33. 33.↵
    1. Zhang Y,
    2. Brady M,
    3. Smith S

    . Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001; 20: 45– 57

    CrossRefPubMedWeb of Science