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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticlePediatric Neuroimaging
Open Access

Accelerated Synthetic MRI with Deep Learning–Based Reconstruction for Pediatric Neuroimaging

E. Kim, H.-H. Cho, S.H. Cho, B. Park, J. Hong, K.M. Shin, M.J. Hwang, S.K. You and S.M. Lee
American Journal of Neuroradiology November 2022, 43 (11) 1653-1659; DOI: https://doi.org/10.3174/ajnr.A7664
E. Kim
aFrom the Departments of Medical and Biological Engineering (E.K.)
cKorea Radioisotope Center for Pharmaceuticals (E.K.), Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
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H.-H. Cho
dDepartment of Radiology and Medical Research Institute (H.-H.C.), College of Medicine, Ewha Womans University, Seoul, South Korea
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S.H. Cho
bRadiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
eDepartment of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
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B. Park
bRadiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
eDepartment of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
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J. Hong
bRadiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
eDepartment of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
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K.M. Shin
bRadiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
eDepartment of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
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M.J. Hwang
fGE Healthcare Korea (M.J.H.), Seoul, South Korea
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S.K. You
gDepartment of Radiology (S.K.Y.), Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea
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S.M. Lee
bRadiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea
eDepartment of Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), Kyungpook National University Chilgok Hospital, Daegu, South Korea
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  • FIG 1.
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    FIG 1.

    Axial contrast-weighted images of a 14-year-old boy who underwent brain MR imaging due to abnormal movement. By applying DLR, the overall image quality and image artifacts of the FAST-SyMRI appear significantly improved for all contrast-weighted images. FAST-SyMRI+DLR images show comparable or superior overall image quality relative to ST-SyMRI images. No significant difference is noted in lesion detectability between the FAST-SyMRI+DLR and the other 2 MR imaging protocols.

  • FIG 2.
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    FIG 2.

    Comparison of the overall image quality among contrast-weighted images obtained with 3 synthetic MR imaging protocols. Each contrast-weighted image in 47 patients was rated on a 5-point Likert scale by 2 readers.

  • FIG 3.
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    FIG 3.

    Scatterplots and Bland-Altman plot results for FAST-SyMRI+DLR versus ST-SyMRI (A) and FAST-SyMRI+DLR versus FAST-SyMRI (B). The linear regression lines fit to the data of 47 patients (solid blue line), which are shown along with 95% confidence intervals (dotted blue lines), represent a strong linear relationship with a robust fit between the tissue value measurements of GM and WM obtained from the 2 MR imaging protocols. Bland-Altman plots show mean differences (solid red line) and the mean difference (SD, 1.96) of the differences (dotted black line).

Tables

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  • Synthetic MR imaging–acquisition parameters

    ST-SyMRIFAST-SyMRI with/without DLRa
    TR (ms)4000–47434000
    TE (ms)21.2/84.817.5/87.4
    TI (ms)4 Automatically calculated saturation delays
    Echo-train lengthb12
    Bandwidth (kHz)22.7331.25
    Acceleration factor (ASSET)23
    Section thickness (mm)b4
    Spacing (mm)b1
    FOV (cm)b23
    Phase FOVb0.8
    Frequency matrix (m × n)b308
    No of sectionsb24–32
    NEXb1
    Scan time (min:sec)5:04–6:013:28
    • Note:—m × n indicates slices of m by n dimensions; ASSET, array spatial sensitivity encoding technique; NEX, number of excitations.

    • ↵a All MR imaging acquisition parameters and scan times were identical for FAST-SyMRI and FAST-SyMRI+DLR.

    • ↵b The same parameters were used in all 3 MR imaging protocols.

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American Journal of Neuroradiology: 43 (11)
American Journal of Neuroradiology
Vol. 43, Issue 11
1 Nov 2022
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Cite this article
E. Kim, H.-H. Cho, S.H. Cho, B. Park, J. Hong, K.M. Shin, M.J. Hwang, S.K. You, S.M. Lee
Accelerated Synthetic MRI with Deep Learning–Based Reconstruction for Pediatric Neuroimaging
American Journal of Neuroradiology Nov 2022, 43 (11) 1653-1659; DOI: 10.3174/ajnr.A7664

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Accelerated Synthetic MRI for PEDS Imaging
E. Kim, H.-H. Cho, S.H. Cho, B. Park, J. Hong, K.M. Shin, M.J. Hwang, S.K. You, S.M. Lee
American Journal of Neuroradiology Nov 2022, 43 (11) 1653-1659; DOI: 10.3174/ajnr.A7664
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