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Research ArticleArtificial Intelligence

Deep Learning–Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases

So Jung Koo, Roh-Eul Yoo, Kyu Sung Choi, Kyung Hoon Lee, Han Byeol Lee, Dong-Joo Shin, Hyunsuk Yoo and Seung Hong Choi
American Journal of Neuroradiology April 2025, 46 (4) 750-757; DOI: https://doi.org/10.3174/ajnr.A8567
So Jung Koo
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Roh-Eul Yoo
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Kyu Sung Choi
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Kyung Hoon Lee
bKangbuk Samsung Hospital (K.H.L.), Seoul, Republic of Korea
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Han Byeol Lee
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Dong-Joo Shin
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Hyunsuk Yoo
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Seung Hong Choi
aFrom the Department of Radiology (S.J.K., R.-E.Y., K.S.C., H.B.L., D.-J.S., H.Y., S.H.C.), Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
cCenter for Nanoparticle Research (S.H.C.), Institute for Basic Science (IBS), Seoul, Republic of Korea
dSchool of Chemical and Biological Engineering (S.H.C.), Seoul National University, Seoul, Republic of Korea
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References

  1. 1.↵
    1. Griswold MA,
    2. Jakob PM,
    3. Heidemann RM, et al
    . Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 2002;47:1202–10 doi:10.1002/mrm.10171 pmid:12111967
    CrossRefPubMedWeb of Science
  2. 2.↵
    1. Lustig M,
    2. Donoho D,
    3. Pauly JM
    . Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007;58:1182–95 doi:10.1002/mrm.21391 pmid:17969013
    CrossRefPubMedWeb of Science
  3. 3.↵
    1. Lustig M,
    2. Pauly JM
    . SPIRiT: iterative self-consistent parallel imaging reconstruction from arbitrary k-space. Magn Reson Med 2010;64:457–71 doi:10.1002/mrm.22428 pmid:20665790
    CrossRefPubMed
  4. 4.↵
    1. Ye JC
    . Compressed sensing MRI: a review from signal processing perspective. BMC Biomed Eng 2019;1:8 doi:10.1186/s42490-019-0006-z pmid:32903346
    CrossRefPubMed
  5. 5.↵
    1. Wang S,
    2. Su Z,
    3. Ying L, et al
    . Accelerating magnetic resonance imaging via deep learning. Proc IEEE Int Symp Biomed Imaging 2016;2016:514–17 doi:10.1109/ISBI.2016.7493320 pmid:31709031
    CrossRefPubMed
  6. 6.↵
    1. Hammernik K,
    2. Klatzer T,
    3. Kobler E, et al
    . Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med 2018;79:3055–71 doi:10.1002/mrm.26977 pmid:29115689
    CrossRefPubMed
  7. 7.↵
    1. Hyun CM,
    2. Kim HP,
    3. Lee SM, et al
    . Deep learning for undersampled MRI reconstruction. Phys Med Biol 2018;63:135007 doi:10.1088/1361-6560/aac71a pmid:29787383
    CrossRefPubMed
  8. 8.↵
    1. Yang G,
    2. Yu S,
    3. Dong H, et al
    . DAGAN: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction. IEEE Trans Med Imaging 2018;37:1310–21 doi:10.1109/TMI.2017.2785879 pmid:29870361
    CrossRefPubMed
  9. 9.↵
    1. Koch KM,
    2. Sherafati M,
    3. Arpinar VE, et al
    . Analysis and evaluation of a deep learning reconstruction approach with denoising for orthopedic MRI. Radiology Artif Intell 2021;3:e200278 doi:10.1148/ryai.2021200278 pmid:34870214
    CrossRefPubMed
  10. 10.↵
    1. Yasaka K,
    2. Tanishima T,
    3. Ohtake Y, et al
    . Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes. Eur Radiology 2022;32:6118–25 doi:10.1007/s00330-022-08729-z pmid:35348861
    CrossRefPubMed
  11. 11.↵
    1. Ueda T,
    2. Ohno Y,
    3. Yamamoto K, et al
    . Deep learning reconstruction of diffusion-weighted MRI improves image quality for prostatic imaging. Radiology 2022;303:373–81 doi:10.1148/radiol.204097 pmid:35103536
    CrossRefPubMed
  12. 12.↵
    1. Hahn S,
    2. Yi J,
    3. Lee HJ, et al
    . Image quality and diagnostic performance of accelerated shoulder MRI with deep learning-based reconstruction. AJR Am J Roentgenol 2022;218:506–16 doi:10.2214/AJR.21.26577 pmid:34523950
    CrossRefPubMed
  13. 13.↵
    1. Yasaka K,
    2. Tanishima T,
    3. Ohtake Y, et al
    . Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction. Neuroradiology 2022;64:2077–83 doi:10.1007/s00234-022-03024-6 pmid:35918450
    CrossRefPubMed
  14. 14.↵
    1. Yoo RE,
    2. Choi SH
    . Deep learning-based image enhancement techniques for fast MRI in neuroimaging. Magn Reson Med Sci 2024;23:341–51 doi:10.2463/mrms.rev.2023-0153 pmid:38684425
    CrossRefPubMed
  15. 15.↵
    1. Bossuyt PM,
    2. Reitsma JB,
    3. Bruns DE
    ; STARD Group, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. Radiology 2015;277:826–32 doi:10.1148/radiol.2015151516 pmid:26509226
    CrossRefPubMed
  16. 16.↵
    1. Kingma DP,
    2. Ba J
    . Adam: a method for stochastic optimization. arXiv e-prints 2014:14126980
  17. 17.↵
    1. Toledano-Massiah S,
    2. Sayadi A,
    3. de Boer R, et al
    . Accuracy of the compressed sensing accelerated 3D-FLAIR sequence for the detection of MS plaques at 3T. AJNR Am J Neuroradiol 2018;39:454–58 doi:10.3174/ajnr.A5517 pmid:29348137
    Abstract/FREE Full Text
  18. 18.↵
    1. Meindl T,
    2. Wirth S,
    3. Weckbach S, et al
    . Magnetic resonance imaging of the cervical spine: comparison of 2D T2-weighted turbo spin echo, 2D T2*weighted gradient-recalled echo and 3D T2-weighted variable flip-angle turbo spin echo sequences. Eur Radiology 2009;19:713–21 doi:10.1007/s00330-008-1175-7 pmid:18813933
    CrossRefPubMed
  19. 19.↵
    1. Kang Y,
    2. Lee JW,
    3. Koh YH, et al
    . New MRI grading system for the cervical canal stenosis. AJR Am J Roentgenol 2011;197:W134–40 doi:10.2214/AJR.10.5560 pmid:21700974
    CrossRefPubMed
  20. 20.↵
    1. Yoo H,
    2. Yoo RE,
    3. Choi SH, et al
    . Deep learning-based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI. Eur Radiology 2023;33:8656–68 doi:10.1007/s00330-023-09918-0 pmid:37498386
    CrossRefPubMed
  21. 21.↵
    1. Jung W,
    2. Kim J,
    3. Ko J, et al
    . Highly accelerated 3D MPRAGE using deep neural network-based reconstruction for brain imaging in children and young adults. Eur Radiology 2022;32:5468–79 doi:10.1007/s00330-022-08687-6 pmid:35319078
    CrossRefPubMed
  22. 22.↵
    1. Awan KM,
    2. Goncalves Filho ALM,
    3. Tabari A, et al
    . Diagnostic evaluation of deep learning accelerated lumbar spine MRI. Neuroradiol J 2024;37:323–31 doi:10.1177/19714009231224428 pmid:38195418
    CrossRefPubMed
  23. 23.↵
    1. Kashiwagi N,
    2. Sakai M,
    3. Tsukabe A, et al
    . Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: diagnostic equivalence to a conventional protocol. Eur J Radiology 2022;156:110531 doi:10.1016/j.ejrad.2022.110531 pmid:36179465
    CrossRefPubMed
  24. 24.↵
    1. Seo G,
    2. Lee SJ,
    3. Park DH, et al
    . Image quality and lesion detectability of deep learning-accelerated T2-weighted Dixon imaging of the cervical spine. Skeletal Radiology 2023;52:2451–59 doi:10.1007/s00256-023-04364-x pmid:37233758
    CrossRefPubMed
  25. 25.↵
    1. Kiryu S,
    2. Akai H,
    3. Yasaka K, et al
    . Clinical impact of deep learning reconstruction in MRI. Radiographics 2023;43:E220133 doi:10.1148/RG.220133 pmid:37200221
    CrossRefPubMed
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American Journal of Neuroradiology: 46 (4)
American Journal of Neuroradiology
Vol. 46, Issue 4
1 Apr 2025
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Cite this article
So Jung Koo, Roh-Eul Yoo, Kyu Sung Choi, Kyung Hoon Lee, Han Byeol Lee, Dong-Joo Shin, Hyunsuk Yoo, Seung Hong Choi
Deep Learning–Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases
American Journal of Neuroradiology Apr 2025, 46 (4) 750-757; DOI: 10.3174/ajnr.A8567

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Deep Learning for Accelerated Cervical Spine MRI
So Jung Koo, Roh-Eul Yoo, Kyu Sung Choi, Kyung Hoon Lee, Han Byeol Lee, Dong-Joo Shin, Hyunsuk Yoo, Seung Hong Choi
American Journal of Neuroradiology Apr 2025, 46 (4) 750-757; DOI: 10.3174/ajnr.A8567
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