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Research ArticleBrain
Open Access

Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods

S. Valverde, A. Oliver, Y. Díez, M. Cabezas, J.C. Vilanova, L. Ramió-Torrentà, À. Rovira and X. Lladó
American Journal of Neuroradiology June 2015, 36 (6) 1109-1115; DOI: https://doi.org/10.3174/ajnr.A4262
S. Valverde
aFrom the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain
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A. Oliver
aFrom the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain
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  • ORCID record for A. Oliver
Y. Díez
aFrom the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain
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M. Cabezas
dMagnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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J.C. Vilanova
bGirona Magnetic Resonance Center (J.C.V.), Girona, Spain
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L. Ramió-Torrentà
cMultiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain
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À. Rovira
dMagnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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X. Lladó
aFrom the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain
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  • Fig 1.
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    Fig 1.

    T1-weighted images from the 3 hospitals and scanners involved in the study: 1.5T Magnetom Symphony Quantum (Siemens) from H1 (first row), 1.5T Intera (R12) (Philips) from H2 (middle row), and 1.5T Signa HDxt (GE Healthcare) from H3 (last row).

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    Fig 2.

    Our pipeline approach. From the 30 T1-weighted scans of patients with MS, nonbrain parts are stripped and brain voxels are corrected for intensity inhomogeneities. From the same corrected set (original), a new set is generated by removing WML masks from scans before segmentation (masked). The scans of both sets are segmented into 1 of the 3 tissue classes (GM, WM, and CSF). Lesion voxels are added as WM after segmentation on masked images.

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    Fig 3.

    Percentage of voxels in WML regions having been classified as GM (top) and WM (bottom) for each segmentation method and hospital, H1 (♢), H2 (□) or H3 (○). Reported values are means and SDs.

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    Fig 4.

    Classification output returned by each segmentation method on the same image. A, T1-weighted scan. B, Zoomed part of the scan with lesions outlined in red. Brain tissue segmentation outputs also with lesions outlined for ANN (C), FCM (D), FANTASM (E), FAST (F), SPM5 (G), and SPM8 (H). C–H, Segmented GM tissue is represented in gray; WM, in white; and CSF, in black.

Tables

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    Table 1:

    Average percentage of change in total tissue volume estimation between original and masked imagesa

    MethodH1H2H3
    GMWMCSFGMWMCSFGMWMCSF
    ANN0.33 ± 0.42−0.23 ± 0.280.11 ± 0.111.59 ± 1.37−0.56 ± 0.460.78 ± 0.760.25 ± 0.31−0.16 ± 0.28−0.09 ± 0.09
    FCM0.28 ± 0.37−0.22 ± 0.290.09 ± 0.112.28 ± 2.26−0.90 ± 0.830.94 ± 0.900.28 ± 0.23−0.25 ± 0.200.08 ± 0.09
    FANTASM0.23 ± 0.26−0.18 ± 0.210.08 ± 0.081.34 ± 1.13−0.49 ± 0.370.80 ± 0.730.26 ± 0.22−0.24 ± 0.190.07 ± 0.08
    FAST0.29 ± 0.36−0.29 ± 0.360.12 ± 0.131.92 ± 1.59−1.28 ± 1.030.47 ± 0.390.34 ± 0.28−0.37 ± 0.310.12 ± 0.17
    SPM50.20 ± 0.30−0.21 ± 0.20−0.14 ± 0.540.10 ± 2.68−1.04 ± 3.010.53 ± 0.510.04 ± 0.17−0.18 ± 0.360.15 ± 0.23
    SPM80.08 ± 0.09−0.08 ± 0.08−0.04 ± 0.180.55 ± 0.34−0.93 ± 0.550.54 ± 0.420.09 ± 0.15−0.23 ± 0.250.17 ± 0.23
    • ↵a The results are divided by tissue and hospital. Reported values are the means ± SD. Positive values indicate a tissue overestimation on original images compared with masked.

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    Table 2:

    Pearson correlation coefficients between method differences in total volume estimation and WML sizea

    MethodGMWMCSF
    H1
        ANN0.94−0.900.89
        FCM0.93−0.890.83
        FANTASM0.87−0.800.78
        FAST0.97−0.970.96
        SPM50.58b−0.89−0.21b
        SPM80.92−0.63−0.69
    H2
        ANN0.91−0.880.93
        FCM0.92−0.940.92
        FANTASM0.89−0.870.84
        FAST0.95−0.960.82
        SPM5−0.35b−0.06b0.72
        SPM80.76−0.790.57b
    H3
        ANN0.56b−0.55b0.88
        FCM0.77−0.840.88
        FANTASM0.74−0.820.85
        FAST0.88−0.940.92
        SPM5−0.06b−0.03b0.21b
        SPM80.56b−0.48b0.09b
    • ↵a Correlation was computed for each method and hospital separately. All values were found to be significant (P value < .05) unless otherwise noted.

    • ↵b Not significant.

    • View popup
    Table 3:

    Average percentage change in the volume estimation of tissue outside the lesion regions between original and masked scansa

    MethodH1H2H3
    GMWMCSFGMWMCSFGMWMCSF
    ANN0.15 ± 0.26−0.10 ± 0.180.07 ± 0.080.70 ± 0.61−0.31 ± 0.240.67 ± 0.69−0.01 ± 0.280.04 ± 0.24−0.12 ± 0.08
    FCM0.09 ± 0.16−0.07 ± 0.130.05 ± 0.081.27 ± 1.69−0.56 ± 0.620.82 ± 0.810.01 ± 0.03−0.03 ± 0.050.05 ± 0.07
    FANTASM0.06 ± 0.05−0.05 ± 0.050.03 ± 0.050.48 ± 0.48−0.25 ± 0.180.68 ± 0.630.00 ± 0.04−0.02 ± 0.050.04 ± 0.07
    FAST0.08 ± 0.14−0.09 ± 0.140.07 ± 0.080.56 ± 0.87−0.45 ± 0.640.22 ± 0.330.02 ± 0.07−0.06 ± 0.130.08 ± 0.16
    SPM50.06 ± 0.250.02 ± 0.13−0.19 ± 0.54−0.29 ± 2.61−0.47 ± 2.910.21 ± 0.32−0.20 ± 0.240.23 ± 0.340.06 ± 0.15
    SPM8−0.03 ± 0.060.09 ± 0.15−0.10 ± 0.230.13 ± 0.30−0.29 ± 0.330.25 ± 0.26−0.15 ± 0.120.14 ± 0.150.10 ± 0.20
    • ↵a The results are divided by hospital and tissue. Reported values are the means ± SD. Positive values indicate a tissue overestimation on original images compared with masked.

    • View popup
    Table 4:

    Pearson correlation coefficients among method differences in volume estimation of tissue outside the lesion regions and WML sizea

    MethodGMWMCSF
    H1
        ANN0.77−0.740.83
        FCM0.82−0.800.71
        FANTASM0.80−0.730.66
        FAST0.86−0.930.97
        SPM50.110.51b−0.30b
        SPM8−0.57b0.95−0.77
    H2
        ANN0.85−0.920.93
        FCM0.71−0.840.94
        FANTASM0.66−0.820.87
        FAST0.33b−0.46b0.62b
        SPM5−0.43b0.18b0.65b
        SPM80.16b−0.37b0.30b
    H3
        ANN0.07−0.16b0.79
        FCM0.50−0.770.89
        FANTASM0.17−0.57b0.87
        FAST0.45−0.730.89
        SPM5−0.78b0.720.14b
        SPM8−0.64b0.72−0.01b
    • ↵a Correlation was computed for each method and hospital separately. All values were found to be significant (P value <.05) unless otherwise noted.

    • ↵b Not significant.

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American Journal of Neuroradiology: 36 (6)
American Journal of Neuroradiology
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S. Valverde, A. Oliver, Y. Díez, M. Cabezas, J.C. Vilanova, L. Ramió-Torrentà, À. Rovira, X. Lladó
Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods
American Journal of Neuroradiology Jun 2015, 36 (6) 1109-1115; DOI: 10.3174/ajnr.A4262

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Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods
S. Valverde, A. Oliver, Y. Díez, M. Cabezas, J.C. Vilanova, L. Ramió-Torrentà, À. Rovira, X. Lladó
American Journal of Neuroradiology Jun 2015, 36 (6) 1109-1115; DOI: 10.3174/ajnr.A4262
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