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Research ArticleAdult Brain

Brain Parcellation Repeatability and Reproducibility Using Conventional and Quantitative 3D MR Imaging

J.B.M. Warntjes, P. Lundberg and A. Tisell
American Journal of Neuroradiology August 2023, 44 (8) 910-915; DOI: https://doi.org/10.3174/ajnr.A7937
J.B.M. Warntjes
aFrom the Centre for Medical Image Science and Visualization (J.B.M.W.)
dSyntheticMR (J.B.M.W.), Linköping, Sweden
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P. Lundberg
bDepartment of Radiation Physics (P.L., A.T.)
cDepartment of Health, Medicine and Caring Sciences (P.L., A.T.), Linköping University, Linköping, Sweden
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A. Tisell
bDepartment of Radiation Physics (P.L., A.T.)
cDepartment of Health, Medicine and Caring Sciences (P.L., A.T.), Linköping University, Linköping, Sweden
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  • FIG 1.
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    FIG 1.

    Representative example of a sagittal, coronal, and axial reformat of the 3D-T1-weighted image stack at 1.2-mm isotropic resolution at a scan time of 6 minutes 10 seconds. The subject is a man, 54 years of age. Upper row (A), conventional T1-weighted NeuroQuant sequence. Lower row (B), synthetic T1-weighted image, created from the R1, R2, and PD maps (SyMRI 22Q2).

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    FIG 2.

    Bland-Atman plot with NQ segmentation results for ICV and BPV, in which T1-weighted and syT1WI were pooled as input data to focus on reproducibility at 2 different field strengths, irrespective of acquisition type. Measurements 1 (circles) and 2 (triangles) were plotted separately for both field strengths. There is a substantial bias, with lower ICV and BPV when using syT1WI. The bias is larger at 3T then at 1.5T.

  • FIG 3.
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    FIG 3.

    Bland-Atman plot with segmentation results for ICV and BPV in which data from 1.5T and 3T were pooled to focus on the reproducibility for the 2 different acquisition methods, irrespective of field strength NQ T1-weighted imaging and SyMRI. Measurements 1 (circles) and 2 (triangles) are plotted separately for both methods. There is a bias, with lower ICV and BPV when using 3T. The bias is largest for the BPV using NQ T1-weighted imaging.

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    Table 1:

    Reproducibility of volume estimation of various brain structures using NeuroQuant with either a conventional or synthetic T1-weighted image stack as inputa

    syT1WI–T1-Weighted NQ 1.5TsyT1WI–T1-Weighted NQ 3T
    Mean (mL)Bias (mL)SD (mL)rMean (mL)Bias (mL)SD (mL)r
    Forebrain parenchyma1084−37141.001041−80340.98
    Cortical gray matter5068.3140.98492−25170.97
    Superior lateral ventricle29−2.21.40.99270.83.70.84
    Inferior lateral ventricle1.70.00.20.971.7−0.10.30.78
    Hippocampus7.5−0.8b0.30.977.4−0.7b0.30.94
    Amygdala3.3−0.20.20.953.5−0.6b0.20.84
    Caudate6.00.10.50.876.0−0.30.60.83
    Putamen11−2.1b0.50.9411−2.2b0.60.87
    Pallidum1.40.10.20.841.7−0.10.10.90
    Thalamus15−0.30.80.9015−2.1b0.60.96
    Cerebellum145−7.32.30.98141−16b4.20.90
    ICV1619−61b171.001610−116b190.99
    BPV1273−49b161.001226−103b360.98
    WMV651−50220.97622−82640.98
    GMV6211130.99608−62720.97
    CSFV346−13200.93384−10250.82
    • Note:—WMV indicates white matter volume; GMV, gray matter volume; CSFV, CSF volume.

    • ↵a Expressed as mean volume, bias, and SD of the difference and correlation coefficient r, at 1.5T and 3T.

    • ↵b Significant (P < .05).

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    Table 2:

    Repeatability of volume estimation of various brain structures using NeuroQuant with either a conventional or synthetic T1-weighted image stack as inputa

    T1-Weighted 1.5TsyT1WI 1.5TT1-Weighted 3TsyT1WI 3T
    Forebrain parenchyma0.60.70.64.0
    Cortical gray matter1.21.01.54.4
    Superior lateral ventricle1.11.21.018.2
    Inferior lateral ventricle5.64.63.521.3
    Hippocampus1.21.22.43.8
    Amygdala3.62.34.05.2
    Caudate4.02.02.96.4
    Putamen2.61.31.66.2
    Pallidum12.85.38.86.3
    Thalamus3.42.93.36.1
    Cerebellum0.70.91.02.9
    ICV0.40.30.31.5
    BPV0.50.60.53.7
    WMV1.20.71.03.7
    GMV0.90.91.24.0
    CSFV2.12.41.66.0
    • Note:—WMV indicates white matter volume; GMV, gray matter volume; CSFV, CSF volume.

    • ↵a Expressed as coefficient of variation (%), at 1.5T and 3T.

    • View popup
    Table 3:

    Reproducibility of volume estimation of WM, GM, CSF, BPV, and ICV using NeuroQuant and SyMRI, between 1.5T and 3Ta

    T1-Weighted NQ 1.5T-3TsyT1WI NQ 1.5T-3TSyMRI 1.5T-3T
    MeanBiasSDrMeanBiasSDrMeanBiasSDr
    WM66127b650.8361358b230.975470390.89
    GM622−6580.8360955b140.98669−7330.95
    CSF368–41b340.76359–45b220.882361160.97
    BPV1284211190.841223113b310.98125821b131.00
    ICV1652−201200.86158168b200.99149421b91.00
    • ↵a Expressed as mean, bias, and SD of the difference and correlation coefficient r.

    • ↵b Significant (P < .05).

    • View popup
    Table 4:

    Repeatability of the volume estimation of WM, GM, CSF, BPV, and ICV using NeuroQuant and SyMRIa

    T1-Weighted NQ 1.5TsyT1WI NQ 1.5TSyMRI 1.5TT1-Weighted NQ 3TsyT1WI NQ 3TSyMRI 3T
    WM1.20.74.81.03.74.4
    GM0.90.94.61.24.04.4
    CSF2.12.43.51.66.03.3
    BPV0.50.60.70.53.70.6
    ICV0.40.30.40.31.50.1
    • ↵a Expressed as CoV for 1.5T and 3T.

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American Journal of Neuroradiology: 44 (8)
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Cite this article
J.B.M. Warntjes, P. Lundberg, A. Tisell
Brain Parcellation Repeatability and Reproducibility Using Conventional and Quantitative 3D MR Imaging
American Journal of Neuroradiology Aug 2023, 44 (8) 910-915; DOI: 10.3174/ajnr.A7937

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Repeatability of Brain Parcellation with MRI
J.B.M. Warntjes, P. Lundberg, A. Tisell
American Journal of Neuroradiology Aug 2023, 44 (8) 910-915; DOI: 10.3174/ajnr.A7937
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