Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Spatio-temporal filtering of digital angiography image data

H Knutsson1, M T Andersson, T Kronander

  • 1Computer Vision Laboratory, Linköping University, Sweden. knutte@isy.liu.se

Computer Methods and Programs in Biomedicine
|November 6, 1998
PubMed
Summary

A new algorithm enhances digital angiography by automatically processing motion artifacts, improving image quality and reducing patient radiation exposure. This advanced method enables new diagnostic possibilities in contrast-based imaging.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Generating patient specific pseudo-CT of the head from MR using atlas-based regression.

Physics in medicine and biology·2015
Same author

Fibre-optic array for curvature assessment: application in otitis diagnosis.

Medical & biological engineering & computing·2004
Same author

Three-dimensional adaptive filtering in magnetic resonance angiography.

Journal of magnetic resonance imaging : JMRI·2001
Same author

Detection of neural activity in functional MRI using canonical correlation analysis.

Magnetic resonance in medicine·2001
Same author

Quantitative endoscopic classification of esophagitis by means of computerized image processing. Part II: Experimental study.

Hepato-gastroenterology·1996
Same author

Divalent cations directly affect the conductance of excised patches of rod photoreceptor membrane.

Science (New York, N.Y.)·1987

Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • Increasing demand for angiography due to rising welfare diseases.
  • Traditional angiography methods lag behind advanced CT/MR processing, relying on outdated techniques.
  • Need for improved processing of digital angiography sequences, especially those with motion artifacts.

Purpose of the Study:

  • Introduce a novel algorithm for processing digital angiography sequences.
  • Address limitations of conventional methods like digital subtraction angiography (DSA) and manual pixel shift.
  • Enhance image quality, reduce radiation exposure, and enable new diagnostic applications in contrast-based angiography.

Main Methods:

  • Development of an advanced image processing algorithm for angiography sequences.

Related Experiment Videos

  • Algorithm functions as an ideal pixel shift filter, adapting to local motion.
  • Fully automatic processing, eliminating the need for manual mask definition and time-consuming operations.

    • Main Results:

    • Successfully processed angiography sequences with motion artifacts intractable for conventional methods.
    • Eliminated manual interventions, saving time and reducing patient radiation and contrast agent exposure.
    • Demonstrated potential for new applications, including analysis of nonuniform motions and visualization of blood flow dynamics.

    Conclusions:

    • The new algorithm offers an efficient, robust, and automated solution for digital angiography processing.
    • It significantly improves image quality and noise suppression compared to traditional methods.
    • Opens new avenues for contrast-based angiography, including non-invasive cardiac blood flow estimation.