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

Visual information processing of computed topographic electrical activity brain maps.

V Klymenko1, J M Coggins

  • 1Radiology Department School of Medicine, University of North Carolina, Chapel Hill 27599-7510.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|October 1, 1990
PubMed
Summary
This summary is machine-generated.

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

Investigation of filter sets for supervised pixel classification of cephalometric landmarks by spatial spectroscopy.

International journal of medical informatics·1998
Same author

Automatic computerized radiographic identification of cephalometric landmarks.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics·1998
Same author

Identifying revolutionary computing technologies.

NeuroImage·1996
Same author

Height measurement of astigmatic test surfaces by a keratoscope that uses plane geometry surface reconstruction.

American journal of ophthalmology·1996
Same author

Automatic quantitative measurement of ocular hyperemia.

Current eye research·1995
Same author

Assessment of radial aspheres by the Arc-step algorithm as implemented by the Keratron keratoscope.

American journal of ophthalmology·1995
Same journal

The Physics and Physiology of Electrical Stimulation of the Brain.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Neurophysiology in Postanoxic Encephalopathy: Pathophysiology, Prognosis, and Treatment.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

A Review on the Functional Connectivity of the Human Opercular Cortex.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Surgical Aspects of Opercular Epilepsies.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Cost-Effectiveness of EEG Monitoring in Hypoxic-Ischemic Brain Injury After Cardiac Arrest.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Pathophysiology and Prognostic Significance of Myoclonus in Hypoxic-Ischemic Encephalopathy.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
See all related articles

Effective display of biomedical images requires understanding data and display limitations. Matching computer displays to human visual processing is crucial for accurate clinical diagnosis and patient assessment.

Area of Science:

  • Biomedical imaging
  • Human-computer interaction
  • Scientific visualization

Background:

  • Effective display of computer-generated biomedical images integrates multiple disciplines.
  • Understanding limitations of data and display technology is essential for accurate interpretation.
  • Reliable clinical inferences depend on matching displays to human visual processing capabilities.

Purpose of the Study:

  • To survey issues for developers and users of computer-based display technologies.
  • To enhance clinical performance in observation and diagnosis.
  • To highlight the importance of human factors in biomedical image display.

Main Methods:

  • Review of principles from computer graphics, image processing, and visual perception.
  • Analysis of human information processing and cognitive psychology.

Related Experiment Videos

  • Case study reference to electrical activity brain maps.

    • Main Results:

    • Successful biomedical image display requires interdisciplinary knowledge.
    • Human visual system limitations must be considered in display design.
    • Optimizing display technology enhances diagnostic accuracy.

    Conclusions:

    • Developers and users must collaborate to optimize biomedical image display.
    • Consideration of human factors is paramount for reliable clinical interpretation.
    • Advanced display technologies should be designed with the end-user's perceptual and cognitive abilities in mind.