Spatial normalization and regional assessment of cord atrophy: Voxel-based analysis of cervical cord 3D T1-weighted images

American Journal of Neuroradiology

Volumn 33, Issue 11, 2012, Pages 2195-2200

  Valsasina, P ^a   Horsfield, M A ^b   Rocca, M A ^a   Absinta, M ^a   Comi, G ^a   Filippi, Massimo ^a  

^a VITA SALUTE SAN RAFFAELE UNIVERSITY   (Italy)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AGING; ARTICLE; CERVICAL SPINAL CORD; FEMALE; HUMAN; HUMAN TISSUE; KERNEL METHOD; LIFESPAN; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; SPATIAL ANALYSIS; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING; TISSUE STRUCTURE; VOXEL BASED MORPHOMETRY;

ADOLESCENT; ADULT; AGED; AGING; ATROPHY; FEASIBILITY STUDIES; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL CORD; YOUNG ADULT;

EID: 84871248585     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3139     Document Type: Article

References (33)

1. Agosta F, Filippi M. MRI of spinal cord in multiple sclerosis. J Neuroimaging 2007;17:46S-49S (Pubitemid 46558269)
2. Bakshi R, Thompson AJ, Rocca MA, et al. MRI in multiple sclerosis: current status and future prospects. Lancet Neurol 2008;7:615-25
3. Turner MR, Grosskreutz J, Kassubek J, et al. Towards a neuroimaging biomarker for amyotrophic lateral sclerosis. Lancet Neurol 2011;10:400-03
4. Wingerchuk DM. Neuromyelitis optica. Int MS J 2006;13:42-50 (Pubitemid 43764527)
5. Losseff NA, Webb SL, O'Riordan JI, 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 (Pubitemid 26237169)
6. Tench CR, Morgan PS, 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 (Pubitemid 40280112)
7. Horsfield MA, Sala S, Neema M, et al. Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis. Neuroimage 2010;50:446-55
8. Rocca MA, Horsfield MA, Sala S, et al. A multicenter assessment of cervical cord atrophy among MS clinical phenotypes. Neurology 2011;76:2096-102
9. Good CD, Johnsrude I, Ashburner J, 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 (Pubitemid 32801715)
10. Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage 2007;38:95-113 (Pubitemid 47440133)
11. Jurkiewicz MT, Crawley AP, Verrier MC, et al. Somatosensory cortical atrophy after spinal cord injury: a voxel-based morphometry study. Neurology 2006;66:762-64 (Pubitemid 43739841)
12. Freund P, Weiskopf N, Ward NS, et al. Disability, atrophy and cortical reorganization following spinal cord injury. Brain 2011;134:1610-22
13. Stroman PW, Figley CR, 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
14. Hartkens T, Rueckert D, 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. Worsley KJ, Marrett S, Neelin P, et al. A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp 1996;4:58-73 (Pubitemid 26195721)
16. Ashburner J, Friston KJ. Why voxel-based morphometry should be used. Neuroimage 2001;14:1238-43 (Pubitemid 33124172)
17. Jones DK, Symms MR, Cercignani M, et al. The effect of filter size on VBM analyses of DT-MRI data. Neuroimage 2005;26:546-54 (Pubitemid 40719832)
18. Rosenfeld A, Kak AC. Digital Picture Processing. Vol 2. Orlando, Florida: Academic Press; 1982
19. Worsley KJ, Evans AC, Marrett S, et al. A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab 1992;12:900-18
20. Tzourio-Mazoyer N, Landeau B, Papathanassiou D, 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 (Pubitemid 34852226)
21. Eickhoff SB, Stephan KE, Mohlberg H, et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 2005;25:1325-35 (Pubitemid 40591672)
22. Mazziotta J, Toga A, Evans A, 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 (Pubitemid 32876067)
23. Morrison LR. The Effect of Advancing Age upon the Human Spinal Cord. Cambridge, Massachusetts: Harvard University Press; 1959
24. Terao S, Sobue G, Hashizume Y, 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 (Pubitemid 26248452)
25. Cruz-Sanchez FF, Moral A, Tolosa E, 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 (Pubitemid 28454519)
26. Ishikawa M, Matsumoto M, Fujimura Y, et al. Changes of cervical spinal cord and cervical spinal canal with age in asymptomatic subjects. Spinal Cord 2003;41:159-63 (Pubitemid 36356785)
27. Yanase M, Matsuyama Y, Hirose K, et al. Measurement of the cervical spinal cord volume on MRI. J Spinal Disord Tech 2006;19:125-29 (Pubitemid 44284158)
28. Sherman JL, Nassaux PY, Citrin CM. Measurements of the normal cervical spinal cord on MR imaging. AJNR Am J Neuroradiol 1990;11:369-72 (Pubitemid 20155076)
29. Healy BC, Arora A, Hayden DL, et al. Approaches to normalization of spinal cord volume: application to multiple sclerosis. J Neuroimaging 2012;22:e12-9
30. White ML, Zhang Y, 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
31. Smith SA, Golay X, Fatemi A, 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 (Pubitemid 40898414)
32. Ashburner J, Friston KJ. Unified segmentation. Neuroimage 2005;26:839-51 (Pubitemid 40825026)
33. Zhang Y, Brady M, 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 (Pubitemid 32293419)