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Research ArticleAdult Brain
Open Access

Automated Hippocampal Subfield Segmentation at 7T MRI

L.E.M. Wisse, H.J. Kuijf, A.M. Honingh, H. Wang, J.B. Pluta, S.R. Das, D.A. Wolk, J.J.M. Zwanenburg, P.A. Yushkevich and M.I. Geerlings
American Journal of Neuroradiology June 2016, 37 (6) 1050-1057; DOI: https://doi.org/10.3174/ajnr.A4659
L.E.M. Wisse
aFrom the Penn Image Computing and Science Laboratory, Department of Radiology (L.E.M.W., J.B.P., S.R.D., P.A.Y.)
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H.J. Kuijf
cImage Sciences Institute (H.J.K.)
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A.M. Honingh
dJulius Center for Health Sciences and Primary Care (A.M.H., M.I.G.)
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H. Wang
fAlmaden Research Center (H.W.), IBM Research, Almaden, California.
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J.B. Pluta
aFrom the Penn Image Computing and Science Laboratory, Department of Radiology (L.E.M.W., J.B.P., S.R.D., P.A.Y.)
bPenn Memory Center, Department of Neurology (J.B.P., D.A.W.), University of Pennsylvania, Philadelphia, Pennsylvania
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S.R. Das
aFrom the Penn Image Computing and Science Laboratory, Department of Radiology (L.E.M.W., J.B.P., S.R.D., P.A.Y.)
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D.A. Wolk
bPenn Memory Center, Department of Neurology (J.B.P., D.A.W.), University of Pennsylvania, Philadelphia, Pennsylvania
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J.J.M. Zwanenburg
eDepartment of Radiology (J.J.M.Z.), UMC Utrecht, Utrecht, the Netherlands
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P.A. Yushkevich
aFrom the Penn Image Computing and Science Laboratory, Department of Radiology (L.E.M.W., J.B.P., S.R.D., P.A.Y.)
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M.I. Geerlings
dJulius Center for Health Sciences and Primary Care (A.M.H., M.I.G.)
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  • Fig 1.
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    Fig 1.

    Training and segmentation pipelines in ASHS. Reprinted with permission from Yushkevich et al. 12 Copyright 2014 Wiley Periodicals.

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    Fig 2.

    Examples of results from the automated segmentation from the cross-validation experiment with the best (upper panel, left hemisphere), median (middle panel, left hemisphere), and worst performance (lower panel, right hemisphere). In each panel in the top row, the raw T2 image is shown; in the second row, the automated segmentation of hippocampal subfields is shown; and the third row, the manual segmentation is shown.

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    Fig 3.

    3D rendering of an automated (ASHS) and a manual segmentation.

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    Table 1:

    Volumes of manual and automated segmentation

    Automated Segmentation Volume (Mean) (mL)Manual Segmentation Volume (Mean) (mL)
    LeftRightLeftRight
    CA11.43 ± 0.221.54 ± 0.241.42 ± 0.221.53 ± 0.23
    CA20.054 ± 0.008a0.066 ± 0.012a0.060 ± 0.0130.071 ± 0.013
    CA30.10 ± 0.03a0.09 ± 0.03a0.12 ± 0.040.12 ± 0.05
    CA2+30.15 ± 0.03a0.16 ± 0.04a0.18 ± 0.040.19 ± 0.05
    DG0.79 ± 0.120.79 ± 0.120.79 ± 0.120.80 ± 0.12
    SUB0.61 ± 0.090.64 ± 0.090.61 ± 0.140.65 ± 0.13
    ERC0.47 ± 0.07a0.49 ± 0.07a0.52 ± 0.110.53 ± 0.08
    • ↵a Significantly different from volumes generated by manual segmentation.

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    Table 2:

    ICC and DSC among automated and corresponding manual segmentations, intrarater reliability of a single manual rater, and interrater reliability of 2 independent manual raters

    ICC and DSC of Automated vs Manual Rater (ASHS vs Rater 1)ICC and DSC of a Single Manual Rater (Rater 1)aICC and DSC of 2 Independent Manual Raters (Rater 1 vs 2)
    DSC (mean ± SD)ICCDSC (mean ± SD)ICCDSC (mean ± SD)ICC
    LeftRightLeftRightLeftRightLeftRightLeftRightLeftRight
    CA10.84 ± 0.030.83 ± 0.020.930.970.86 ± 0.020.86 ± 0.030.980.980.82 ± 0.030.81 ± 0.020.730.94
    CA20.64 ± 0.080.65 ± 0.090.550.670.66 ± 0.050.66 ± 0.100.830.740.65 ± 0.060.66 ± 0.050.340.88
    CA30.58 ± 0.110.54 ± 0.130.430.450.70 ± 0.100.71 ± 0.080.820.850.57 ± 0.090.59 ± 0.100.600.60
    CA2+30.66 ± 0.080.64 ± 0.100.420.490.73 ± 0.070.74 ± 0.070.800.810.65 ± 0.070.67 ± 0.060.520.63
    DG0.85 ± 0.030.84 ± 0.030.840.840.87 ± 0.020.87 ± 0.020.960.980.83 ± 0.030.81 ± 0.030.920.89
    SUB0.80 ± 0.030.78 ± 0.040.740.750.83 ± 0.030.81 ± 0.040.980.970.75 ± 0.030.71 ± 0.050.780.58
    ERC0.75 ± 0.070.75 ± 0.060.490.510.80 ± 0.060.79 ± 0.050.800.820.71 ± 0.050.72 ± 0.060.270.54
    • ↵a Retrieved from Wisse et al (2012).5 Note that an error was detected in the original script for calculating the DSC values. The corrected DSC values are displayed in the table and have also been published in a corrigendum to the original article.

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American Journal of Neuroradiology: 37 (6)
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L.E.M. Wisse, H.J. Kuijf, A.M. Honingh, H. Wang, J.B. Pluta, S.R. Das, D.A. Wolk, J.J.M. Zwanenburg, P.A. Yushkevich, M.I. Geerlings
Automated Hippocampal Subfield Segmentation at 7T MRI
American Journal of Neuroradiology Jun 2016, 37 (6) 1050-1057; DOI: 10.3174/ajnr.A4659

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Automated Hippocampal Subfield Segmentation at 7T MRI
L.E.M. Wisse, H.J. Kuijf, A.M. Honingh, H. Wang, J.B. Pluta, S.R. Das, D.A. Wolk, J.J.M. Zwanenburg, P.A. Yushkevich, M.I. Geerlings
American Journal of Neuroradiology Jun 2016, 37 (6) 1050-1057; DOI: 10.3174/ajnr.A4659
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