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 ArticleInterventional

Parametric Color Coding of Digital Subtraction Angiography

C.M. Strother, F. Bender, Y. Deuerling-Zheng, K. Royalty, K.A. Pulfer, J. Baumgart, M. Zellerhoff, B. Aagaard-Kienitz, D.B. Niemann and M.L. Lindstrom
American Journal of Neuroradiology May 2010, 31 (5) 919-924; DOI: https://doi.org/10.3174/ajnr.A2020
C.M. Strother
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
F. Bender
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Y. Deuerling-Zheng
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
K. Royalty
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
K.A. Pulfer
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. Baumgart
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Zellerhoff
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
B. Aagaard-Kienitz
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
D.B. Niemann
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M.L. Lindstrom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: Color has been shown to facilitate both visual search and recognition tasks. It was our purpose to examine the impact of a color-coding algorithm on the interpretation of 2D-DSA acquisitions by experienced and inexperienced observers.

MATERIALS AND METHODS: Twenty-six 2D-DSA acquisitions obtained as part of routine clinical care from subjects with a variety of cerebrovascular disease processes were selected from an internal data base so as to include a variety of disease states (aneurysms, AVMs, fistulas, stenosis, occlusions, dissections, and tumors). Three experienced and 3 less experienced observers were each shown the acquisitions on a prerelease version of a commercially available double-monitor workstation (XWP, Siemens Healthcare). Acquisitions were presented first as a subtracted image series and then as a single composite color-coded image of the entire acquisition. Observers were then asked a series of questions designed to assess the value of the color-coded images for the following purposes: 1) to enhance their ability to make a diagnosis, 2) to have confidence in their diagnosis, 3) to plan a treatment, and 4) to judge the effect of a treatment. The results were analyzed by using 1-sample Wilcoxon tests.

RESULTS: Color-coded images enhanced the ease of evaluating treatment success in >40% of cases (P < .0001). They also had a statistically significant impact on treatment planning, making planning easier in >20% of the cases (P = .0069). In >20% of the examples, color-coding made diagnosis and treatment planning easier for all readers (P < .0001). Color-coding also increased the confidence of diagnosis compared with the use of DSA alone (P = .056). The impact of this was greater for the naïve readers than for the expert readers.

CONCLUSIONS: At no additional cost in x-ray dose or contrast medium, color-coding of DSA enhanced the conspicuity of findings on DSA images. It was particularly useful in situations in which there was a complex flow pattern and in evaluation of pre- and posttreatment acquisitions. Its full potential remains to be defined.

Abbreviations

AP
anteroposterior
AVF
arteriovenous fistula
AVM
arteriovenous malformation
DSA
digital subtraction angiography
HSV
hue, saturation, value
Imask
pixel intensity in the mask frame
Imax
maximal enhancement
Ipeak
peak pixel intensity
TTP
time to peak
  • Copyright © American Society of Neuroradiology
View Full Text
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 31 (5)
American Journal of Neuroradiology
Vol. 31, Issue 5
1 May 2010
  • Table of Contents
  • Index by author
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.
Parametric Color Coding of Digital Subtraction Angiography
(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
C.M. Strother, F. Bender, Y. Deuerling-Zheng, K. Royalty, K.A. Pulfer, J. Baumgart, M. Zellerhoff, B. Aagaard-Kienitz, D.B. Niemann, M.L. Lindstrom
Parametric Color Coding of Digital Subtraction Angiography
American Journal of Neuroradiology May 2010, 31 (5) 919-924; DOI: 10.3174/ajnr.A2020

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
Parametric Color Coding of Digital Subtraction Angiography
C.M. Strother, F. Bender, Y. Deuerling-Zheng, K. Royalty, K.A. Pulfer, J. Baumgart, M. Zellerhoff, B. Aagaard-Kienitz, D.B. Niemann, M.L. Lindstrom
American Journal of Neuroradiology May 2010, 31 (5) 919-924; DOI: 10.3174/ajnr.A2020
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
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Combined collaterals and hemodynamic features to predict the prognosis in acute ischemic stroke patients undergoing mechanical thrombectomy
  • Quantitative evaluation of hemodynamics after partial embolization of brain arteriovenous malformations
  • Quantitative angiographic haemodynamic evaluation of bypasses for complex aneurysms: a preliminary study
  • Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs
  • Association of intracranial arteriovenous malformation embolization with more rapid rate of perfusion in the peri-nidal region on color-coded quantitative digital subtraction angiography
  • Intracranial venous sinus stenosis: hemodynamic assessment with two-dimensional parametric parenchymal blood flow software on digital subtraction angiography
  • Color-Mapping of 4D-CTA for the Detection of Cranial Arteriovenous Shunts
  • Quantification of Blood Velocity with 4D Digital Subtraction Angiography Using the Shifted Least-Squares Method
  • Prediction of hyperperfusion phenomenon after carotid artery stenting and carotid angioplasty using quantitative DSA with cerebral circulation time imaging
  • Prolonged cerebral circulation time is more associated with symptomatic carotid stenosis than stenosis degree or collateral circulation
  • Validation of cerebral arteriovenous malformation hemodynamics assessed by DSA using quantitative magnetic resonance angiography: preliminary study
  • Higher Flow Is Present in Unruptured Arteriovenous Malformations With Silent Intralesional Microhemorrhages
  • Quantifying the Cerebral Hemodynamics of Dural Arteriovenous Fistula in Transverse Sigmoid Sinus Complicated by Sinus Stenosis: A Retrospective Cohort Study
  • Peritherapeutic Hemodynamic Changes of Carotid Stenting Evaluated with Quantitative DSA in Patients with Carotid Stenosis
  • Quantitative Assessment of Neovascularization after Indirect Bypass Surgery: Color-Coded Digital Subtraction Angiography in Pediatric Moyamoya Disease
  • Changes of Time-Attenuation Curve Blood Flow Parameters in Patients with and without Carotid Stenosis
  • Exploring the Value of Using Color-Coded Quantitative DSA Evaluation on Bilateral Common Carotid Arteries in Predicting the Reliability of Intra-Ascending Aorta Flat Detector CT-CBV Maps
  • Stenotic Transverse Sinus Predisposes to Poststenting Hyperperfusion Syndrome as Evidenced by Quantitative Analysis of Peritherapeutic Cerebral Circulation Time
  • 4D Digital Subtraction Angiography: Implementation and Demonstration of Feasibility
  • Initial experience with a combined multidetector CT and biplane digital subtraction angiography suite with a single interactive table for the diagnosis and treatment of neurovascular disease
  • Monitoring Peri-Therapeutic Cerebral Circulation Time: A Feasibility Study Using Color-Coded Quantitative DSA in Patients with Steno-Occlusive Arterial Disease
  • Color-Coded Digital Subtraction Angiography: The End of a Monochromatic Era?
  • Crossref (110)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • 4D Digital Subtraction Angiography: Implementation and Demonstration of Feasibility
    B. Davis, K. Royalty, M. Kowarschik, C. Rohkohl, E. Oberstar, B. Aagaard-Kienitz, D. Niemann, O. Ozkan, C. Strother, C. Mistretta
    American Journal of Neuroradiology 2013 34 10
  • Monitoring Peri-Therapeutic Cerebral Circulation Time: A Feasibility Study Using Color-Coded Quantitative DSA in Patients with Steno-Occlusive Arterial Disease
    C.J. Lin, S.C. Hung, W.Y. Guo, F.C. Chang, C.B. Luo, J. Beilner, M. Kowarschik, W.F. Chu, C.Y. Chang
    American Journal of Neuroradiology 2012 33 9
  • Risk factors for hemorrhage of brain arteriovenous malformation
    Sonali S. Shaligram, Ethan Winkler, Daniel Cooke, Hua Su
    CNS Neuroscience & Therapeutics 2019 25 10
  • Cerebral Vasospasm
    Christopher D. Baggott, Beverley Aagaard-Kienitz
    Neurosurgery Clinics of North America 2014 25 3
  • Transcranial optical vascular imaging (TOVI) of cortical hemodynamics in mouse brain
    Vyacheslav Kalchenko, David Israeli, Yuri Kuznetsov, Alon Harmelin
    Scientific Reports 2014 4 1
  • Parametric Color Coding of Digital Subtraction Angiography in the Evaluation of Carotid Cavernous Fistulas
    P. Gölitz, T. Struffert, H. Lücking, J. Rösch, F. Knossalla, O. Ganslandt, Y. Deuerling-Zheng, A. Doerfler
    Clinical Neuroradiology 2013 23 2
  • Higher Flow Is Present in Unruptured Arteriovenous Malformations With Silent Intralesional Microhemorrhages
    Xiaolin Chen, Daniel L. Cooke, David Saloner, Jeffrey Nelson, Hua Su, Michael T. Lawton, Christopher Hess, Tarik Tihan, Yuanli Zhao, Helen Kim
    Stroke 2017 48 10
  • Validation of cerebral arteriovenous malformation hemodynamics assessed by DSA using quantitative magnetic resonance angiography: preliminary study
    Sophia F Shakur, Denise Brunozzi, Ahmed E Hussein, Andreas Linninger, Chih-Yang Hsu, Fady T Charbel, Ali Alaraj
    Journal of NeuroInterventional Surgery 2018 10 2
  • Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis
    Vitaliy L. Rayz, Aaron A. Cohen-Gadol
    Annual Review of Biomedical Engineering 2020 22 1
  • Perfusion Angiography in Acute Ischemic Stroke
    Fabien Scalzo, David S. Liebeskind
    Computational and Mathematical Methods in Medicine 2016 2016

More in this TOC Section

  • SAVE vs. Solumbra Techniques for Thrombectomy
  • Contrast-Induced Encephalopathy after NeuroIR
  • CT Perfusion&Reperfusion in Acute Ischemic Stroke
Show more Interventional

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