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Research ArticleARTIFICIAL INTELLIGENCE
Open Access

Compressed Sensitivity Encoding Artificial Intelligence Accelerates Brain Metastasis Imaging by Optimizing Image Quality and Reducing Scan Time

Mengmeng Wang, Yue Ma, Linna Li, Xingchen Pan, Yafei Wen, Ying Qiu, Dandan Guo, Yi Zhu, Jianxiu Lian and Dan Tong
American Journal of Neuroradiology March 2024, DOI: https://doi.org/10.3174/ajnr.A8161
Mengmeng Wang
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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  • ORCID record for Mengmeng Wang
Yue Ma
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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Linna Li
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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Xingchen Pan
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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Yafei Wen
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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Ying Qiu
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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Dandan Guo
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
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Yi Zhu
bPhilips Healthcare (Y.Z., J.L., D.T.), Beijing, China
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Jianxiu Lian
bPhilips Healthcare (Y.Z., J.L., D.T.), Beijing, China
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Dan Tong
aFrom the Department of Radiology (M.W., Y.M., L.L., X.P., Y.W., Y.Q., D.G., D.T.), The First Hospital of Jilin University, Changchun, China
bPhilips Healthcare (Y.Z., J.L., D.T.), Beijing, China
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Figures

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  • FIG 1.
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    FIG 1.

    Flowchart of the experimental design.

  • FIG 2.
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    FIG 2.

    Quantitative analysis results of the SNR and CNR of CS- and CS-AI-accelerated CE 3D-T1WI under different AFs. Note: NS indicates not significant; *, P < .05; **, P < .01; ***, P < .001; ****, P < .0001.

  • FIG 3.
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    FIG 3.

    Quantitative analysis results of the SNR and CNR values of CS- and CS-AI-accelerated CE 3D-FLAIR images under different AFs. Note: NS indicates not significant; *, P < .05; **, P < .01; ***, P < .001; ****, P < .0001.

  • FIG 4.
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    FIG 4.

    Comparison of the overall image quality score results of different accelerated sequences in patients with BM. Note: NS indicates not significant; *, P < .05; **, P < .01; ***, P < .001; ****, P < .0001.

  • FIG 5.
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    FIG 5.

    MR images of a 68-year-old woman with breast cancer and a 57-year-old man with lung cancer. Reconstructed CE 3D-T1-weighted sagittal images for CS-AI6 (A1, A2), CS-AI8 (B1, B2), CS-AI10 (C1, C2), CS-AI12 (D1, D2), reference CS6 (E1, E2), CS8 (F1, F2), CS10 (G1, G2), and CS12 (H1, H2). The arrows indicate enhanced BM lesions. Notably, the gray-white matter boundaries and lesion edges are clearer in the images accelerated by CS-AI technology, and the image quality is comparable with or better than that of CS6.

  • FIG 6.
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    FIG 6.

    MR images of a 55-year-old male patient and a 38-year-old male patient with lung cancer. Reconstructed CE 3D-FLAIR sagittal images for CS-AI6 (A1, A2), CS-AI8 (B1, B2), CS-AI10 (C1, C2), CS-AI12 (D1, D2), reference CS6 (E1, E2), CS8 (F1, F2), CS10 (G1, G2), and CS12 (H1, H2). The arrows indicate enhanced BM. In the CS group, as the AF increases, the images become blurred, and the junctions of gray-white matter and the boundaries of the lesions become less clear.

  • FIG 7.
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    FIG 7.

    A 60-year-old male patient with lung cancer was scanned with 2 optimized sequences to obtain example images of a good quality in a short time (5:03 minutes). The axial (A), sagittal (B), and coronal (C) images of accelerated CE 3D-T1Wl of CS-AI10. The axial (D), sagittal (E), and coronal (F) images of accelerated CE 3D-FLAIR of CS-AI10.

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    Table 1:

    Imaging parameters for CS- and CS-AI-accelerated CE 3D-T1WI sequences

    ParameterCE 3D-T1WI
    CS6 (RS)CS 8/10/12CS-AI 6/8/10/12
    TR (ms)600600600
    TE (ms)282828
    FOV (mm2)250 × 250250 × 250250 × 250
    Voxel size (mm3)0.99 × 1.00 × 1.100.99 × 1.00 × 1.100.99 × 1.00 × 1.10
    Slices327327327
    Acceleration factor68/10/126/8/10/12
    Scan time (min)3:342:42/2:10/1:493:34/2:42/2:10/1:49
    Scan time reduction-24.29%/39.25%/49.06%−/24.29%/39.25%/49.06%
    • Note:—dash indicates no value; RS, reference sequence; FOV, field of view; min, minute.

    • View popup
    Table 2:

    Imaging parameters for CS- and CS-AI-accelerated CE 3D-FLAIR sequences

    ParameterCE 3D-FLAIR
    CS6 (RS)CS 8/10/12CS-AI 6/8/10/12
    TR (ms)480048004800
    TE (ms)340340340
    FOV (mm2)250 × 250250 × 250250 × 250
    Voxel size (mm3)1.12 × 1.12 × 1.121.12 × 1.12 × 1.121.12 × 1.12 × 1.12
    Slices326326326
    Acceleration factor68/10/126/8/10/12
    Scan time (min)4:483:41/2:53/2:244:48/3:41/2:53/2:24
    Scan time reduction-23.26%/39.93%/50.00%-/23.26%/39.93%/50.00%
    • Note:—dash indicates no value; RS, reference sequence; FOV, field of view; min, minute.

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Mengmeng Wang, Yue Ma, Linna Li, Xingchen Pan, Yafei Wen, Ying Qiu, Dandan Guo, Yi Zhu, Jianxiu Lian, Dan Tong
Compressed Sensitivity Encoding Artificial Intelligence Accelerates Brain Metastasis Imaging by Optimizing Image Quality and Reducing Scan Time
American Journal of Neuroradiology Mar 2024, DOI: 10.3174/ajnr.A8161

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Compressed Sensitivity Encoding Artificial Intelligence Accelerates Brain Metastasis Imaging by Optimizing Image Quality and Reducing Scan Time
Mengmeng Wang, Yue Ma, Linna Li, Xingchen Pan, Yafei Wen, Ying Qiu, Dandan Guo, Yi Zhu, Jianxiu Lian, Dan Tong
American Journal of Neuroradiology Mar 2024, DOI: 10.3174/ajnr.A8161
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