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
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • 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
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • 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 is seeking candidates for the AJNR Podcast Editor. Read the position description.

Research ArticleArtificial Intelligence
Open Access

Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke

Hosung Kim, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Hee-Joon Bae and Dong-Eog Kim
American Journal of Neuroradiology December 2024, 45 (12) 1885-1894; DOI: https://doi.org/10.3174/ajnr.A8418
Hosung Kim
aFrom the USC Stevens Neuroimaging and Informatics Institute (H.K.), Keck School of Medicine of USC, University of Southern California, Los Angeles, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wi-Sun Ryu
bArtificial Intelligence Research Center (W.-S.R, J.P.), JLK Inc, Seoul, Republic of Korea
cNational Priority Research Center for Stroke and Department of Neurology (W.-S.R, J.C., S.-W.J., D.-S.G., D.-E.K.), Dongguk University Ilsan Hospital, Goyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Wi-Sun Ryu
Dawid Schellingerhout
dDepartment of Neuroradiology and Imaging Physics (D.S.), The University of Texas M.D. Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dawid Schellingerhout
Jonghyeok Park
bArtificial Intelligence Research Center (W.-S.R, J.P.), JLK Inc, Seoul, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jinyong Chung
cNational Priority Research Center for Stroke and Department of Neurology (W.-S.R, J.C., S.-W.J., D.-S.G., D.-E.K.), Dongguk University Ilsan Hospital, Goyang, Republic of Korea
eBioimaging Data Curation Center (J.C., D.-S.G., D.-E.K.), KOREA-BioData Station, Daejeon, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jinyong Chung
Sang-Wuk Jeong
cNational Priority Research Center for Stroke and Department of Neurology (W.-S.R, J.C., S.-W.J., D.-S.G., D.-E.K.), Dongguk University Ilsan Hospital, Goyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sang-Wuk Jeong
Dong-Seok Gwak
cNational Priority Research Center for Stroke and Department of Neurology (W.-S.R, J.C., S.-W.J., D.-S.G., D.-E.K.), Dongguk University Ilsan Hospital, Goyang, Republic of Korea
eBioimaging Data Curation Center (J.C., D.-S.G., D.-E.K.), KOREA-BioData Station, Daejeon, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Beom Joon Kim
fDepartment of Neurology (B.J.K., H.-J.B.), Seoul National University Bundang Hospital, Seongnam, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Beom Joon Kim
Joon-Tae Kim
gDepartment of Neurology (J.-T.K., M.S.P.,), Chonnam National University Hospital, Gwangju, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Keun-Sik Hong
hDepartment of Neurology (K.-S.H., Y,-J.C.), Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kyung Bok Lee
iDepartment of Neurology (K.B.L.), Soonchunhyang University Hospital, Seoul, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kyung Bok Lee
Tai Hwan Park
jDepartment of Neurology (T.H.P.), Seoul Medical Center, Seoul, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jong-Moo Park
kDepartment of Neurology (J.-M.P.), Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kyusik Kang
lDepartment of Neurology (K.K.), Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yong-Jin Cho
hDepartment of Neurology (K.-S.H., Y,-J.C.), Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Byung-Chul Lee
mDepartment of Neurology (B.-C.L., K.-H.Y., M.S.O.), Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kyung-Ho Yu
mDepartment of Neurology (B.-C.L., K.-H.Y., M.S.O.), Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mi Sun Oh
mDepartment of Neurology (B.-C.L., K.-H.Y., M.S.O.), Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Soo Joo Lee
nDepartment of Neurology (S.J.L.), Eulji University Hospital, Daejeon, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jae-Kwan Cha
oDepartment of Neurology (J.-K.C., D.-H.K.), Dong-A University Hospital, Busan, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dae-Hyun Kim
oDepartment of Neurology (J.-K.C., D.-H.K.), Dong-A University Hospital, Busan, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun Lee
pDepartment of Neurology (J.L.), Yeungnam University Hospital, Daegu, Republic of Korea.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Man Seok Park
gDepartment of Neurology (J.-T.K., M.S.P.,), Chonnam National University Hospital, Gwangju, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hee-Joon Bae
fDepartment of Neurology (B.J.K., H.-J.B.), Seoul National University Bundang Hospital, Seongnam, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Hee-Joon Bae
Dong-Eog Kim
cNational Priority Research Center for Stroke and Department of Neurology (W.-S.R, J.C., S.-W.J., D.-S.G., D.-E.K.), Dongguk University Ilsan Hospital, Goyang, Republic of Korea
eBioimaging Data Curation Center (J.C., D.-S.G., D.-E.K.), KOREA-BioData Station, Daejeon, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dong-Eog Kim
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure
    • Download figure
    • Open in new tab
    • Download powerpoint
  • FIG 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 1.

    Segmentation performance of the SE-UNet, with stratification by infarct volume, white matter hyperintensity volume, and the uncertainty index in external test data sets. A, Violin plot for the performance of WMH segmentation, with stratification by infarct volume (low, <1.7 mL, n = 2792; medium, 1.7–14 mL, n = 1785; and large, >14 mL, n = 1436). B, Violin plot for the segmentation performance, with stratification by WMH volume (low ,<7.6 mL, n = 1984; medium, 7.6–19.6 mL, n = 1984; and large, >19.7 mL, n = 2045). C, Segmentation performance stratified by the infarct volume and the uncertainty index. D, Segmentation performance, stratified by the WMH volume and the uncertainty index. Due to the association between the volume of WMHs and the uncertainty index, none of the patients in the large-volume group had an uncertainty index exceeding 0.8. E, The mean and 95% CI of the uncertainty index after stratification of DSCs and WMH volume (in quartiles). In the violin plots, lines and dotted lines indicate median and interquartile range, respectively. In the line graphs, dots and error bars indicate mean (SD), respectively.

  • FIG 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 2.

    Representative cases of automatic white matter hyperintensity segmentation and their uncertainty indices. Upper row: raw images. Middle row: red and blue areas, respectively, show areas of agreement and disagreement between human segmentation and deep learning algorithm-based segmentation. Lower row: adjudicated final results, with uncertainties resolved.

  • FIG 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 3.

    Relationship between the uncertainty index and the DSC. A, Density plot between the uncertainty index and the DSC. As expected, there is a negative correlation between the 2 values. B, Mean DSC, distribution of subjects, and the uncertainty index. The blue line represents the cumulative percentile of patients, while the green line indicates the mean DSC of cumulative patients. The blue dotted line represents the cumulative percentage of patients when the uncertainty index reaches 0.35 from 0 (red dotted line). The green dotted line shows interhuman DSC. At an uncertainty index of 0.35, accumulated patients comprise approximately 86% of the total population, with a mean DSC of 0.75.

  • FIG 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 4.

    Scatterplot showing a strong correlation between the volumes of WMHs segmented automatically by SE-UNet and manually in external validation. Gray dots indicate each subject. The red line indicates a 45° line of identity. Outlier subjects (blue dots) are reviewed in the Online Supplemental Data. The given equation is y = 2.1693 + 0.8311x, where y represents the automatically segmented WMH volume and x represents the manually segmented WMH volume. After eliminating 6 outlier cases from the scatterplot, the slope showed a modest increase, resulting in the equation y = 2.0671 + 0.8376 x. Coef indicates coefficient.

  • FIG 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 5.

    Comparison of previous studies and the current study on automated WMH segmentation using deep learning algorithms, along with representative cases demonstrating the performance of our algorithm. NA indicates not applicable.

Tables

  • Figures
  • Baseline characteristics of the training, internal validation, and external validation data setsa

    Training, Validation, and Internal Test (n = 2408)External Validation 1 (n = 1105)External Validation 2 (n = 838)External Validation 3 (n = 2654)External Validation 4 (n = 428)External Validation 5 (n = 571)External Validation 6 (n = 417)P
    Age (yr)67.4 (13.0)68.2 (12.8)67.5 (13.3)68.1 (12.5)70.0 (11.7)67.9 (13.1)69.7 (12.7)<.01
    Sex, male1419 (60.4)568 (54.3)491 (60.8)1497 (57.7)222 (52.7)346 (63.0)235 (58.6)
    LKW to admission (hr)12.0 (3.5–37.2)13.1 (3.5–32.0)13.9 (3.2–39.0)6.8 (2.6–24.0)11.4 (3.1–34.8)13.5 (3.3–39.4)17.7 (5.7–51)<.001a
    Prestroke mRS score >2285 (12.1)171 (16.4)107 (13.2)426 (16.4)55 (13.1)94 (17.1)115 (28.7)<.001
    Admission NIHSS score4 (2–8)4 (2–7)3 (1–8)4 (2–9)4 (2–10)3 (2–8)4 (2–8).11a
    Subtype<.001
     LAA814 (35.4)331 (32.3)296 (38.0)1030 (40.1)179 (43.0)197 (36.1)162 (40.6)
     SVO469 (20.4)222 (21.6)216 (27.7)221 (8.6)52 (12.5)123 (22.5)98 (24.6)
     CE525 (22.8)160 (15.6)159 (20.4)625 (24.3)63 (15.1)112 (20.5)65 (16.3)
     Undetermined435 (18.9)289 (28.2)93 (11.9)654 (25.4)120 (28.9)103 (18.9)64 (16.0)
     Other-determined59 (2.6)24 (2.3)15 (1.9)42 (1.6)2 (0.5)11 (2.0)10 (2.5)
    Previous stroke483 (20.5)250 (23.9)188 (23.3)392 (15.1)112 (26.6)115 (21.0)111 (27.7)<.001
    Coronary artery disease391 (16.6)95 (9.1)95 (11.8)88 (3.4)37 (8.8)66 (12.0)33 (8.2)<.001
    Hypertension1594 (67.8)726 (69.4)559 (69.2)1585 (61.1)322 (76.5)409 (74.5)311 (77.6)<.001
    Diabetes791 (33.7)338 (32.3)280 (34.7)730 (28.1)164 (39.0)199 (36.3)158 (39.4)<.001
    Hyperlipidemia1084 (46.1)193 (18.5)324 (40.1)362 (14.0)133 (31.6)268 (48.8)195 (48.6)<.001
    Smoking, current or quit ≤5 yr950 (40.4)391 (37.4)330 (40.8)989 (38.1)162 (38.5)259 (47.2)166 (41.1)<.001
    Atrial fibrillation496 (21.1)180 (17.2)158 (20.0)621 (23.9)86 (20.4)114 (20.8)66 (16.5).003
    Revascularization404 (17.2)147 (14.1)82 (10.2)587 (22.6)73 (17.3)114 (20.8)45 (11.2)<.001
    Infarct volume (mL)1.7 (0.4–9.8)1.1 (0.3–6.6)2.0 (0.4–12.2)3.6 (0.6–17.9)1.2 (0.3–8.7)2.2 (0.5–15.4)1.4 (0.5–9.5)
    WMH volume (mL)11.4 (5.4–24.7)14.6 (6.6–30.0)10.8 (4.2–25.1)12.7 (6.9–24.3)14.3 (7.0–28.7)13.0 (6.7–25.5)17.7 (8.9–40.0)<.001a
    • Note:—CE indicates cardioembolism; LAA, large-artery atherosclerosis; LKW, last known well; mRS, modified Rankin Scale; SVO, small-vessel occlusion.

    • ↵Data are presented as mean ± SD, median (interquartile range), number (percentage).

    • a Kruskal-Wallis test was used.

PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 45 (12)
American Journal of Neuroradiology
Vol. 45, Issue 12
1 Dec 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.
Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke
(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
Hosung Kim, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Hee-Joon Bae, Dong-Eog Kim
Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke
American Journal of Neuroradiology Dec 2024, 45 (12) 1885-1894; DOI: 10.3174/ajnr.A8418

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
AutoSegmentation of Stroke MRI Hyperintensities
Hosung Kim, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Hee-Joon Bae, Dong-Eog Kim
American Journal of Neuroradiology Dec 2024, 45 (12) 1885-1894; DOI: 10.3174/ajnr.A8418
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

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

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Segmentation of leukoaraiosis on noncontrast head CTs using CT-MRI paired data without human annotation
  • 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

Artificial Intelligence

  • AI-Enhanced Photon-Counting CT of Temporal Bone
  • An AI De-identification Method for Pediatric MRIs
  • Aneurysm Segmentation on MRI-TOF with AI
Show more Artificial Intelligence

Neurovascular/Stroke Imaging

  • Perfusion PVT and Longer LOS for Reperfused LVOs
  • Perfusion Imaging and Excellent Recovery in DMVOs
  • High Wall Shear Stress and Complicated Plaques
Show more Neurovascular/Stroke Imaging

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

Special Collections

  • AJNR Awards
  • ASNR Foundation Special Collection
  • Most Impactful AJNR Articles
  • Photon-Counting CT
  • Spinal CSF Leak Articles (Jan 2020-June 2024)

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner

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