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Research ArticleBrain
Open Access

The Impact of Lesion In-Painting and Registration Methods on Voxel-Based Morphometry in Detecting Regional Cerebral Gray Matter Atrophy in Multiple Sclerosis

A. Ceccarelli, J.S. Jackson, S. Tauhid, A. Arora, J. Gorky, E. Dell'Oglio, A. Bakshi, T. Chitnis, S.J. Khoury, H.L. Weiner, C.R.G. Guttmann, R. Bakshi and M. Neema
American Journal of Neuroradiology September 2012, 33 (8) 1579-1585; DOI: https://doi.org/10.3174/ajnr.A3083
A. Ceccarelli
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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J.S. Jackson
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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S. Tauhid
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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A. Arora
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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J. Gorky
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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E. Dell'Oglio
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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A. Bakshi
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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T. Chitnis
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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S.J. Khoury
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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H.L. Weiner
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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C.R.G. Guttmann
bRadiology (C.R.G.G.), Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, Massachusetts.
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R. Bakshi
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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M. Neema
aFrom the Departments of Neurology (A.C., J.S.J., S.T., A.A., J.G., E.D., A.B., T.C., S.J.K., H.L.W., R.B., M.N.)
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References

  1. 1.↵
    1. Pirko I,
    2. Lucchinetti CF,
    3. Sriram S,
    4. et al
    . Gray matter involvement in multiple sclerosis. Neurology 2007; 68: 634– 42
    Abstract/FREE Full Text
  2. 2.↵
    1. Ashburner J,
    2. Friston KJ
    . Voxel-based morphometry: the methods. Neuroimage 2000; 11: 805– 21
    CrossRefPubMedWeb of Science
  3. 3.↵
    1. Ceccarelli A,
    2. Rocca MA,
    3. Pagani E,
    4. et al
    . A voxel-based morphometry study of grey matter loss in MS patients with different clinical phenotypes. Neuroimage 2008; 42: 315– 22
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Riccitelli G,
    2. Rocca MA,
    3. Pagani E,
    4. et al
    . Cognitive impairment in multiple sclerosis is associated to different patterns of gray matter atrophy according to clinical phenotype. Hum Brain Mapp 2011; 32: 1535– 43
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. Bookstein FL
    . “Voxel-based morphometry” should not be used with imperfectly registered images. Neuroimage 2001; 14: 1454– 62
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Fein G,
    2. Landman B,
    3. Tran H,
    4. et al
    . Statistical parametric mapping of brain morphology: sensitivity is dramatically increased by using brain-extracted images as inputs. Neuroimage 2006; 30: 1187– 95
    CrossRefPubMedWeb of Science
  7. 7.↵
    1. Acosta-Cabronero J,
    2. Williams GB,
    3. Pereira JM,
    4. et al
    . The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry. Neuroimage 2008; 39: 1654– 65
    CrossRefPubMedWeb of Science
  8. 8.↵
    1. Pereira JM,
    2. Xiong L,
    3. Acosta-Cabronero J,
    4. et al
    . Registration accuracy for VBM studies varies according to region and degenerative disease grouping. Neuroimage 2010; 49: 2205– 15
    CrossRefPubMedWeb of Science
  9. 9.↵
    1. Tardif CL,
    2. Collins DL,
    3. Pike GB
    . Sensitivity of voxel-based morphometry analysis to choice of imaging protocol at 3 T. Neuroimage 2009; 44: 827– 38
    CrossRefPubMedWeb of Science
  10. 10.↵
    1. Tardif CL,
    2. Collins DL,
    3. Pike GB
    . Regional impact of field strength on voxel-based morphometry results. Hum Brain Mapp 2010; 31: 943– 57
    PubMedWeb of Science
  11. 11.↵
    1. Sdika M,
    2. Pelletier D
    . Nonrigid registration of multiple sclerosis brain images using lesion inpainting for morphometry or lesion mapping. Hum Brain Mapp 2009; 30: 1060– 67
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Chard DT,
    2. Jackson JS,
    3. Miller DH,
    4. et al
    . Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes. J Magn Reson Imaging 2010; 32: 223– 28
    CrossRefPubMed
  13. 13.↵
    1. Jackson J,
    2. Chard D,
    3. Dell'Oglio E,
    4. et al
    . Cerebral white and gray matter MRI segmentation with lesion in-painting in multiple sclerosis: 2010 annual meeting of the American Academy of Neurology—Toranto, Canada. Neurology 2010; 74: 237
  14. 14.↵
    1. Ridgway GR,
    2. Henley SM,
    3. Rohrer JD,
    4. et al
    . Ten simple rules for reporting voxel-based morphometry studies. Neuroimage 2008; 40: 1429– 35
    CrossRefPubMedWeb of Science
  15. 15.↵
    1. Ridgway GR,
    2. Omar R,
    3. Ourselin S,
    4. et al
    . Issues with threshold masking in voxel-based morphometry of atrophied brains. Neuroimage 2009; 44: 99– 111
    CrossRefPubMedWeb of Science
  16. 16.↵
    1. Henley SM,
    2. Ridgway GR,
    3. Scahill RI,
    4. et al
    . Pitfalls in the use of voxel-based morphometry as a biomarker: examples from Huntington disease. AJNR Am J Neuroradiol 2010; 31: 711– 19
    Abstract/FREE Full Text
  17. 17.↵
    1. Ashburner J
    . A fast diffeomorphic image registration algorithm. Neuroimage 2007; 38: 95– 113
    CrossRefPubMedWeb of Science
  18. 18.↵
    1. Ashburner J,
    2. Friston KJ
    . Unified segmentation. Neuroimage 2005; 26: 839– 51
    CrossRefPubMedWeb of Science
  19. 19.↵
    1. Klein A,
    2. Andersson J,
    3. Ardekani BA,
    4. et al
    . Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 2009; 46: 786– 802
    CrossRefPubMedWeb of Science
  20. 20.↵
    1. Yassa MA,
    2. Stark CE
    . A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe. Neuroimage 2009; 44: 319– 27
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Bergouignan L,
    2. Chupin M,
    3. Czechowska Y,
    4. et al
    . Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression? Neuroimage 2009; 45: 29– 37
    CrossRefPubMedWeb of Science
  22. 22.↵
    1. McLaren DG,
    2. Kosmatka KJ,
    3. Kastman EK,
    4. et al
    . Rhesus macaque brain morphometry: a methodological comparison of voxel-wise approaches. Methods 2010; 50: 157– 65
    CrossRefPubMedWeb of Science
  23. 23.↵
    1. Takahashi R,
    2. Ishii K,
    3. Miyamoto N,
    4. et al
    . Measurement of gray and white matter atrophy in dementia with Lewy bodies using diffeomorphic anatomic registration through exponentiated lie algebra: a comparison with conventional voxel-based morphometry. AJNR Am J Neuroradiol 2010; 31: 1873– 78
    Abstract/FREE Full Text
  24. 24.↵
    1. Kurtzke JF
    . Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983; 33: 1444– 52
    Abstract/FREE Full Text
  25. 25.↵
    1. Polman CH,
    2. Reingold SC,
    3. Edan G,
    4. et al
    . Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria.” Ann Neurol 2005; 58: 840– 46
    CrossRefPubMedWeb of Science
  26. 26.↵
    1. Deichmann R,
    2. Schwarzbauer C,
    3. Turner R
    . Optimisation of the 3D MDEFT sequence for anatomical brain imaging: technical implications at 1.5 and 3 T. Neuroimage 2004; 21: 757– 67
    CrossRefPubMedWeb of Science
  27. 27.↵
    1. Stankiewicz JM,
    2. Glanz BI,
    3. Healy BC,
    4. et al
    . Brain MRI lesion load at 1.5T and 3T versus clinical status in multiple sclerosis. J Neuroimaging 2011; 21: e50– 56
    CrossRefPubMedWeb of Science
  28. 28.↵
    1. Bakshi R,
    2. Neema M,
    3. Healy BC,
    4. et al
    . Predicting clinical progression in multiple sclerosis with the magnetic resonance disease severity scale. Arch Neurol 2008; 65: 1449– 53
    CrossRefPubMedWeb of Science
  29. 29.↵
    1. Tahmasebi AM,
    2. Abolmaesumi P,
    3. Zheng ZZ,
    4. et al
    . Reducing inter-subject anatomical variation: effect of normalization method on sensitivity of functional magnetic resonance imaging data analysis in auditory cortex and the superior temporal region. Neuroimage 2009; 47: 1522– 31
    CrossRefPubMedWeb of Science
  30. 30.↵
    1. Karacali B,
    2. Davatzikos C
    . Simulation of tissue atrophy using a topology preserving transformation model. IEEE Trans Med Imaging 2006; 25: 649– 52
    CrossRefPubMedWeb of Science
  31. 31.↵
    1. Li W,
    2. He H,
    3. Lu J,
    4. et al
    . Evaluation of multiple voxel-based morphometry approaches and applications in the analysis of white matter changes in temporal lobe epilepsy. In: Proceedings of the 5th International Workshop on Medical Imaging and Augmented Reality, Bejiing, China. September 19– 20, 2010
  32. 32.↵
    1. Salmond CH,
    2. Ashburner J,
    3. Vargha-Khadem F,
    4. et al
    . Distributional assumptions in voxel-based morphometry. Neuroimage 2002; 17: 1027– 30
    CrossRefPubMedWeb of Science
  33. 33.↵
    1. Sailer M,
    2. Fischl B,
    3. Salat D,
    4. et al
    . Focal thinning of the cerebral cortex in multiple sclerosis. Brain 2003; 126: 1734– 44
    Abstract/FREE Full Text
  34. 34.↵
    1. Battaglini M,
    2. Giorgio A,
    3. Stromillo ML,
    4. et al
    . Voxel-wise assessment of progression of regional brain atrophy in relapsing-remitting multiple sclerosis. J Neurol Sci 2009; 282: 55– 60
    CrossRefPubMed
  35. 35.↵
    1. Sicotte NL,
    2. Kern KC,
    3. Giesser BS,
    4. et al
    . Regional hippocampal atrophy in multiple sclerosis. Brain 2008; 131: 1134– 41
    Abstract/FREE Full Text
  36. 36.↵
    1. Charil A,
    2. Dagher A,
    3. Lerch JP,
    4. et al
    . Focal cortical atrophy in multiple sclerosis: relation to lesion load and disability. Neuroimage 2007; 34: 509– 17
    CrossRefPubMedWeb of Science
  37. 37.↵
    1. Calabrese M,
    2. Rinaldi F,
    3. Mattisi I,
    4. et al
    . The predictive value of gray matter atrophy in clinically isolated syndromes. Neurology 2011; 77: 257– 63
    Abstract/FREE Full Text
  38. 38.↵
    1. Yeh EA,
    2. Weinstock-Guttman B,
    3. Ramanathan M,
    4. et al
    . Magnetic resonance imaging characteristics of children and adults with paediatric-onset multiple sclerosis. Brain 2009; 132 (pt 12): 3392– 400
    Abstract/FREE Full Text
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Cite this article
A. Ceccarelli, J.S. Jackson, S. Tauhid, A. Arora, J. Gorky, E. Dell'Oglio, A. Bakshi, T. Chitnis, S.J. Khoury, H.L. Weiner, C.R.G. Guttmann, R. Bakshi, M. Neema
The Impact of Lesion In-Painting and Registration Methods on Voxel-Based Morphometry in Detecting Regional Cerebral Gray Matter Atrophy in Multiple Sclerosis
American Journal of Neuroradiology Sep 2012, 33 (8) 1579-1585; DOI: 10.3174/ajnr.A3083

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The Impact of Lesion In-Painting and Registration Methods on Voxel-Based Morphometry in Detecting Regional Cerebral Gray Matter Atrophy in Multiple Sclerosis
A. Ceccarelli, J.S. Jackson, S. Tauhid, A. Arora, J. Gorky, E. Dell'Oglio, A. Bakshi, T. Chitnis, S.J. Khoury, H.L. Weiner, C.R.G. Guttmann, R. Bakshi, M. Neema
American Journal of Neuroradiology Sep 2012, 33 (8) 1579-1585; DOI: 10.3174/ajnr.A3083
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