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

Digital image processing: effect on detectability of simulated low-contrast radiographic patterns.

M Ishida, K Doi, L N Loo

    Radiology
    |February 1, 1984
    PubMed
    Summary

    Digital image processing significantly improved the detection of low-contrast radiographic patterns. Enhanced contrast via windowing reduced observer internal noise, boosting detection performance in simulated medical 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

    Ideal observer approximation using Bayesian classification neural networks.

    IEEE transactions on medical imaging·2001
    Same author

    Components-of-variance models for random-effects ROC analysis: the case of unequal variance structures across modalities.

    Academic radiology·2001
    Same author

    Continuous versus categorical data for ROC analysis: some quantitative considerations.

    Academic radiology·2001
    Same author

    Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.

    Academic radiology·2000
    Same author

    Cost-effectiveness in radiology.

    European radiology·2000
    Same author

    Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test.

    Radiology·1999

    Area of Science:

    • Radiology
    • Medical Imaging
    • Image Processing

    Background:

    • Low-contrast radiographic patterns are challenging to detect.
    • Conventional screen-film systems have limitations in contrast enhancement.
    • Digital image processing offers potential for improving image quality.

    Purpose of the Study:

    • To evaluate the effectiveness of digital image processing in enhancing the detectability of simulated low-contrast radiographic patterns.
    • To quantify the impact of contrast enhancement on observer performance.

    Main Methods:

    • Simulated low-contrast radiographic patterns were created.
    • Images were processed using a digital system with a 'windowing' technique for contrast enhancement.
    • Observer performance was assessed using the multiple-alternative forced-choice (MAF) method.

    Related Experiment Videos

    Main Results:

    • Digital image processing significantly increased observer detection performance compared to original images.
    • The 'windowing' technique effectively enhanced contrast.
    • Results align with signal detection theory, showing improved displayed and perceived signal-to-noise ratios.

    Conclusions:

    • Digital image processing, specifically contrast enhancement via windowing, is effective in improving the detection of low-contrast radiographic patterns.
    • The improvement is attributed to a reduction in the human observer's internal noise.
    • Statistical models incorporating internal noise can explain the observed dependence of detection thresholds on object size and noise levels.