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Research ArticleADULT BRAIN

A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context

L. Storelli, E. Pagani, M.A. Rocca, M.A. Horsfield, A. Gallo, A. Bisecco, M. Battaglini, N. De Stefano, H. Vrenken, D.L. Thomas, L. Mancini, S. Ropele, C. Enzinger, P. Preziosa and M. Filippi
American Journal of Neuroradiology November 2016, 37 (11) 2043-2049; DOI: https://doi.org/10.3174/ajnr.A4874
L. Storelli
aFrom the Neuroimaging Research Unit (L.S., E.P., M.A.R., P.P., M.F.)
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E. Pagani
aFrom the Neuroimaging Research Unit (L.S., E.P., M.A.R., P.P., M.F.)
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M.A. Rocca
aFrom the Neuroimaging Research Unit (L.S., E.P., M.A.R., P.P., M.F.)
bInstitute of Experimental Neurology, Division of Neuroscience, Department of Neurology (M.A.R., P.P., M.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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M.A. Horsfield
cXinapse Systems (M.A.H.), Colchester, United Kingdom
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  • ORCID record for M.A. Horsfield
A. Gallo
dMRI Center “SUN-FISM” and Institute of Diagnosis and Care “Hermitage-Capodimonte” (A.G., A.B.)
eI Division of Neurology, Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences (A.G., A.B.), Second University of Naples, Naples, Italy
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A. Bisecco
dMRI Center “SUN-FISM” and Institute of Diagnosis and Care “Hermitage-Capodimonte” (A.G., A.B.)
eI Division of Neurology, Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences (A.G., A.B.), Second University of Naples, Naples, Italy
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M. Battaglini
fDepartment of Neurological and Behavioral Sciences (M.B., N.D.S.), University of Siena, Italy
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N. De Stefano
fDepartment of Neurological and Behavioral Sciences (M.B., N.D.S.), University of Siena, Italy
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H. Vrenken
gDepartment of Radiology and Nuclear Medicine, MS Centre Amsterdam (H.V.), VU Medical Centre, Amsterdam, the Netherlands
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D.L. Thomas
hNeuroradiological Academic Unit (D.L.T., L.M.), UCL Institute of Neurology, London, United Kingdom
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L. Mancini
hNeuroradiological Academic Unit (D.L.T., L.M.), UCL Institute of Neurology, London, United Kingdom
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S. Ropele
iDepartment of Neurology (S.R., C.E.)
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C. Enzinger
iDepartment of Neurology (S.R., C.E.)
jClinical Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Austria.
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P. Preziosa
aFrom the Neuroimaging Research Unit (L.S., E.P., M.A.R., P.P., M.F.)
bInstitute of Experimental Neurology, Division of Neuroscience, Department of Neurology (M.A.R., P.P., M.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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M. Filippi
aFrom the Neuroimaging Research Unit (L.S., E.P., M.A.R., P.P., M.F.)
bInstitute of Experimental Neurology, Division of Neuroscience, Department of Neurology (M.A.R., P.P., M.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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References

  1. 1.↵
    1. Filippi M,
    2. Rocca MA,
    3. De Stefano N, et al
    . Magnetic resonance techniques in multiple sclerosis: the present and the future. Arch Neurol 2011;68:1514–20 doi:10.1001/archneurol.2011.914 pmid:22159052
    CrossRefPubMed
  2. 2.↵
    1. Johnston B,
    2. Atkins MS,
    3. Mackiewich B, et al
    . Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI. IEEE Trans Med Imaging 1996;15:154–69 doi:10.1109/42.491417 pmid:18215898
    CrossRefPubMed
  3. 3.↵
    1. Sajja BR,
    2. Datta S,
    3. He R, et al
    . Unified approach for multiple sclerosis lesion segmentation on brain MRI. Ann Biomed Eng 2006;34:142–51 doi:10.1007/s10439-005-9009-0 pmid:16525763
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Van Leemput K,
    2. Maes F,
    3. Vandermeulen D, et al
    . Automated segmentation of multiple sclerosis lesions by model outlier detection. IEEE Trans Med Imaging 2001;20:677–88 doi:10.1109/42.938237 pmid:11513020
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. García-Lorenzo D,
    2. Francis S,
    3. Narayanan S, et al
    . Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging. Med Image Anal 2013;17:1–18 doi:10.1016/j.media.2012.09.004 pmid:23084503
    CrossRefPubMed
  6. 6.↵
    1. Styner M,
    2. Lee J,
    3. Chin B, et al
    . 3D segmentation in the clinic: a grand challenge II: MS lesion segmentation. MIDAS Journal 2008. http://hdl.handle.net/10380/1509
  7. 7.↵
    1. García-Lorenzo D,
    2. Prima S,
    3. Arnold DL, et al
    . Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis. IEEE Trans Med Imaging 2011;30:1455–67 doi:10.1109/TMI.2011.2114671 pmid:21324773
    CrossRefPubMed
  8. 8.↵
    1. Khayati R,
    2. Vafadust M,
    3. Towhidkhah F, et al
    . Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and Markov random field model. Comput Biol Med 2008;38:379–90 doi:10.1016/j.compbiomed.2007.12.005 pmid:18262511
    CrossRefPubMed
  9. 9.↵
    1. Souplet J,
    2. Lebrun C,
    3. Ayache N, et al
    . An automatic segmentation of T2-FLAIR multiple sclerosis lesions. MIDAS Journal 2008. http://hdl.handle.net/10380/1451
  10. 10.↵
    1. Erbayat Altay E,
    2. Fisher E,
    3. Jones SE, et al
    . Reliability of classifying multiple sclerosis disease activity using magnetic resonance imaging in a multiple sclerosis clinic. JAMA Neurol 2013;70:338–44 doi:10.1001/2013.jamaneurol.211 pmid:23599930
    CrossRefPubMedWeb of Science
  11. 11.↵
    1. Storelli L,
    2. Pagani E,
    3. Rocca MA, et al
    . A semi-automatic method for segmentation of multiple sclerosis lesions on dual-echo magnetic resonance images. Lect Notes Comput Sci 2016;9556:80–90 doi:10.1007/978-3-319-30858-6_8
    CrossRef
  12. 12.↵
    1. Schnack HG,
    2. van Haren NE,
    3. Hulshoff Pol HE, et al
    . Reliability of brain volumes from multicenter MRI acquisition: a calibration study. Hum Brain Mapp 2004;22:312–20 doi:10.1002/hbm.20040 pmid:15202109
    CrossRefPubMedWeb of Science
  13. 13.↵
    1. Polman CH,
    2. Reingold SC,
    3. Banwell B, et al
    . Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302 doi:10.1002/ana.22366 pmid:21387374
    CrossRefPubMedWeb of Science
  14. 14.↵
    1. Subbanna N,
    2. Precup D,
    3. Arnold D, et al
    . IMaGe: iterative multilevel probabilistic graphical model for detection and segmentation of multiple sclerosis lesions in brain MRI. Inf Process Med Imaging 2015;24:514–26 pmid:26221699
    PubMed
  15. 15.↵
    1. Jain S,
    2. Sima DM,
    3. Ribbens A, et al
    . Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images. Neuroimage Clin 2015;8:367–75 doi:10.1016/j.nicl.2015.05.003 pmid:26106562
    CrossRefPubMed
  16. 16.↵
    1. Mechrez R,
    2. Goldberger J,
    3. Greenspan H
    . Patch-based segmentation with spatial consistency: application to MS lesions in brain MRI. Int J Biomed Imaging 2016;2016:7952541 doi:10.1155/2016/7952541 pmid:26904103
    CrossRefPubMed
  17. 17.↵
    1. Freifeld O,
    2. Greenspan H,
    3. Goldberg J
    . Multiple sclerosis lesion detection using constrained GMM and curve evolution. Int J Biomed Imaging 2009;2009:715124 doi:10.1155/2009/715124 pmid:19756161
    CrossRefPubMed
  18. 18.↵
    1. Galimzianova A,
    2. Pernuš F,
    3. Likar B, et al
    . Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. Neuroimage 2016;124:1031–43 doi:10.1016/j.neuroimage.2015.09.047 pmid:26427644
    CrossRefPubMed
  19. 19.↵
    1. Strumia M,
    2. Schmidt FR,
    3. Anastasopoulos C, et al
    . White matter MS-lesion segmentation using a geometric brain model. IEEE Trans Med Imaging 2016;35:1636–46 doi:10.1109/TMI.2016.2522178 pmid:26829786
    CrossRefPubMed
  20. 20.↵
    1. Veronese E,
    2. Calabrese M,
    3. Favaretto A, et al
    . Automatic segmentation of gray matter multiple sclerosis lesions on DIR images. IFMBE Proc 2014;41:241–44 doi:10.1007/978-3-319-00846-2_60
    CrossRef
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Cite this article
L. Storelli, E. Pagani, M.A. Rocca, M.A. Horsfield, A. Gallo, A. Bisecco, M. Battaglini, N. De Stefano, H. Vrenken, D.L. Thomas, L. Mancini, S. Ropele, C. Enzinger, P. Preziosa, M. Filippi
A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context
American Journal of Neuroradiology Nov 2016, 37 (11) 2043-2049; DOI: 10.3174/ajnr.A4874

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A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context
L. Storelli, E. Pagani, M.A. Rocca, M.A. Horsfield, A. Gallo, A. Bisecco, M. Battaglini, N. De Stefano, H. Vrenken, D.L. Thomas, L. Mancini, S. Ropele, C. Enzinger, P. Preziosa, M. Filippi
American Journal of Neuroradiology Nov 2016, 37 (11) 2043-2049; DOI: 10.3174/ajnr.A4874
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