Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

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

Research ArticleArtificial Intelligence

Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning

Gowtham Murugesan, Fang F. Yu, Michael Achilleos, John DeBevits, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Ananth J Madhuranthakam and Joseph A. Maldjian
American Journal of Neuroradiology March 2024, 45 (3) 312-319; DOI: https://doi.org/10.3174/ajnr.A8107
Gowtham Murugesan
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fang F. Yu
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Fang F. Yu
Michael Achilleos
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Michael Achilleos
John DeBevits
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for John DeBevits
Sahil Nalawade
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sahil Nalawade
Chandan Ganesh
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chandan Ganesh
Ben Wagner
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ben Wagner
Ananth J Madhuranthakam
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ananth J Madhuranthakam
Joseph A. Maldjian
aDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Joseph A. Maldjian
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Villanueva-Meyer JE,
    2. Mabray MC,
    3. Cha SJN
    . Current clinical brain tumor imaging. Neurosurgery 2017;81:397–415 doi:10.1093/neuros/nyx103 pmid:28486641
    CrossRefPubMed
  2. 2.↵
    1. Weinreb JC,
    2. Rodby RA,
    3. Yee J, et al
    . Use of intravenous gadolinium-based contrast media in patients with kidney disease: consensus statements from the American College of Radiology and the National Kidney Foundation. Kidney Med 2021;3:142–50 doi:10.1016/j.xkme.2020.10.001 pmid:33604544
    CrossRefPubMed
  3. 3.↵
    1. Hoggard N,
    2. Roditi GH
    . T1 hyperintensity on brain imaging subsequent to gadolinium-based contrast agent administration: what do we know about intracranial gadolinium deposition? Br J Radiol 2017;90:20160590 doi:10.1259/bjr.20160590 pmid:27653560
    CrossRefPubMed
  4. 4.↵
    1. Wang J,
    2. Wang H,
    3. Ramsay IA, et al
    . Manganese-based contrast agents for magnetic resonance imaging of liver tumors: structure–activity relationships and lead candidate evaluation. J Med Chem 2018;61:8811–24 doi:10.1021/acs.jmedchem.8b00964
    CrossRefPubMed
  5. 5.↵
    1. Greer JS,
    2. Wang X,
    3. Wang Y, et al
    . Robust pCASL perfusion imaging using a 3D Cartesian acquisition with spiral profile reordering (CASPR). Magn Reson Med 2019;82:1713–24 doi:10.1002/mrm.27862 pmid:31231894
    CrossRefPubMed
  6. 6.↵
    1. Viswanathan S,
    2. Kovacs Z,
    3. Green KN, et al
    . Alternatives to gadolinium-based metal chelates for magnetic resonance imaging. Chem Rev 2010;110:2960–3018 doi:10.1021/cr900284a pmid:20397688
    CrossRefPubMed
  7. 7.↵
    1. Menze BH,
    2. Jakab A,
    3. Bauer S, et al
    . The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans Med Imaging 2014;34:1993–2024 doi:10.1109/TMI.2014.2377694 pmid:25494501
    CrossRefPubMed
  8. 8.↵
    1. Bakas S,
    2. Akbari H,
    3. Sotiras A, et al
    . Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci Data 2017;4:170117
    CrossRefPubMed
  9. 9.↵
    1. Rohlfing T,
    2. Zahr NM,
    3. Sullivan EV, et al
    . The SRI24 multichannel atlas of normal adult human brain structure. Hum Brain Mapp 2010;31:798–819 doi:10.1002/hbm.20906 pmid:20017133
    CrossRefPubMedWeb of Science
  10. 10.↵
    1. Bakas S,
    2. Reyes M,
    3. Jakab A, et al
    . Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. 2018
  11. 11.↵
    1. Tustison NJ,
    2. Cook PA,
    3. Klein A, et al
    . Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements. Neuroimage 2014;99:166–79 doi:10.1016/j.neuroimage.2014.05.044 pmid:24879923
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Kleesiek J,
    2. Morshuis JN,
    3. Isensee F, et al
    . Can virtual contrast enhancement in brain MRI replace gadolinium? A feasibility study. Invest Radiology 2019;54:653–60 doi:10.1097/RLI.0000000000000583 pmid:31261293
    CrossRefPubMed
  13. 13.↵
    1. Lin M,
    2. Chen Q,
    3. Yan S
    . Network in network. arXiv preprint arXiv 2013;1312.4400
  14. 14.↵
    1. Szegedy C,
    2. Liu W,
    3. Jia Y, et al
    . Going deeper with convolutions. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Boston, Massachusetts. June 7–12, 2015;1–9
  15. 15.↵
    1. A. Crimi,
    2. S. Bakas
    1. Murugesan GK,
    2. Nalawade S,
    3. Ganesh C, et al
    . Multidimensional and multiresolution ensemble networks for brain tumor segmentation. In: A. Crimi, S. Bakas, eds. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Lecture Notes in Computer Science, vol 12658. Springer; 2021;448–57
  16. 16.↵
    1. Ichimura N
    . Spatial frequency loss for learning convolutional autoencoders. arXiv 2018;1806.02336
  17. 17.↵
    1. B. Leibe,
    2. J. Matas,
    3. N. Sebe,
    4. M. Welling
    1. Johnson J,
    2. Alahi A,
    3. Fei-Fei L
    . Perceptual losses for real-time style transfer and super-resolution. In: B. Leibe, J. Matas, N. Sebe, M. Welling, eds. Computer Vision. ECCV 2016. Lecture Notes in Computer Science, vol 9906. Springer; 2016;694–711
  18. 18.↵
    1. M. Cardoso, et al
    1. BenTaieb A,
    2. Hamarneh G
    . Uncertainty driven multi-loss fully convolutional networks for histopathology. In: M. Cardoso, et al. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. Lecture Notes in Computer Science, vol 10552. Springer; 2017;155–63
  19. 19.↵
    1. Gong E,
    2. Pauly JM,
    3. Wintermark M, et al
    . Deep learning enables reduced gadolinium dose for contrast‐enhanced brain MRI. J Magn Reson Imaging 2018;48:330–40 doi:10.1002/jmri.25970 pmid:29437269
    CrossRefPubMed
  20. 20.↵
    1. Narayana PA,
    2. Coronado I,
    3. Sujit SJ, et al
    . Deep learning for predicting enhancing lesions in multiple sclerosis from noncontrast MRI. Radiology 2020;294:398–404 doi:10.1148/radiol.2019191061 pmid:31845845
    CrossRefPubMed
  21. 21.↵
    1. Calabrese E,
    2. Rudie JD,
    3. Rauschecker AM, et al
    . Feasibility of simulated postcontrast MRI of glioblastomas and lower-grade gliomas by using three-dimensional fully convolutional neural networks. Radiology Artif Intell 2021;3:e200276 doi:10.1148/ryai.2021200276 pmid:34617027
    CrossRefPubMed
  22. 22.↵
    1. Duffy BA,
    2. Zhao L,
    3. Sepehrband F
    , Alzheimer's Disease Neuroimaging Initiative, et al. Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions. Neuroimage 2021;230:117756 doi:10.1016/j.neuroimage.2021.117756 pmid:33460797
    CrossRefPubMed
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 45 (3)
American Journal of Neuroradiology
Vol. 45, Issue 3
1 Mar 2024
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
Gowtham Murugesan, Fang F. Yu, Michael Achilleos, John DeBevits, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Ananth J Madhuranthakam, Joseph A. Maldjian
Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning
American Journal of Neuroradiology Mar 2024, 45 (3) 312-319; DOI: 10.3174/ajnr.A8107

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Synthesizing Contrast-Enhanced MR Images via DL
Gowtham Murugesan, Fang F. Yu, Michael Achilleos, John DeBevits, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Ananth J Madhuranthakam, Joseph A. Maldjian
American Journal of Neuroradiology Mar 2024, 45 (3) 312-319; DOI: 10.3174/ajnr.A8107
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Large Language Models in Radiology
  • Improving Hematoma Expansion Prediction Robustness
  • MRI-Based Models for Diagnosis of Brain Lesions
Show more Artificial Intelligence

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire