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

Comparing the performance of mammographic enhancement algorithms: a preference study.

R Sivaramakrishna1, N A Obuchowski, W A Chilcote

  • 1Department of Biomedical Engineering, The Cleveland Clinic Foundation, OH 44195, USA.

AJR. American Journal of Roentgenology
|July 6, 2000
PubMed
Summary

Image enhancement algorithms improved microcalcification visibility in mammograms, with adaptive neighborhood contrast enhancement being most preferred. However, no algorithm significantly enhanced mass detection compared to unenhanced images.

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

Multi-vendor multi-site quantitative MRI analysis of cartilage degeneration 10 Years after anterior cruciate ligament reconstruction: MOON-MRI protocol and preliminary results.

Osteoarthritis and cartilage·2022
Same author

Donor-matched comparison of chondrogenic progenitors resident in human infrapatellar fat pad, synovium, and periosteum - implications for cartilage repair.

Connective tissue research·2019
Same author

Primary Cells Isolated from Human Knee Cartilage Reveal Decreased Prevalence of Progenitor Cells but Comparable Biological Potential During Osteoarthritic Disease Progression.

The Journal of bone and joint surgery. American volume·2018
Same author

Histopathological assessment of primary osteoarthritic knees in large patient cohort reveal the possibility of several potential patterns of osteoarthritis initiation.

Current research in translational medicine·2017
Same author

Meniscus treatment and age associated with narrower radiographic joint space width 2-3 years after ACL reconstruction: data from the MOON onsite cohort.

Osteoarthritis and cartilage·2015
Same author

Comparison of radiation dose and image quality from single-energy and dual-energy CT examinations in the same patients screened for hepatocellular carcinoma.

Clinical radiology·2014

Area of Science:

  • Radiology and Medical Imaging
  • Digital Mammography
  • Image Processing

Background:

  • Mammography is crucial for breast cancer detection.
  • Secondary digitization of film mammograms is common.
  • Image enhancement may improve diagnostic accuracy.

Purpose of the Study:

  • To compare four image enhancement algorithms for digitized mammograms.
  • To evaluate algorithm performance on masses and microcalcifications.
  • To assess performance in a clinical soft-copy display setting.

Main Methods:

  • Four algorithms (adaptive unsharp masking, contrast-limited adaptive histogram equalization, adaptive neighborhood contrast enhancement, wavelet-based enhancement) were applied.
  • Digitized mammograms with known pathology (masses, microcalcifications) were used.

Related Experiment Videos

  • Expert mammographers ranked enhanced and unenhanced images.

    • Main Results:

    • Adaptive neighborhood contrast enhancement was preferred for microcalcifications (49%).
    • Unenhanced images were preferred for masses (58%).
    • No significant improvement for masses with enhancement algorithms.

    Conclusions:

    • Image enhancement can improve microcalcification visibility.
    • Adaptive neighborhood contrast enhancement is effective for microcalcifications.
    • No tested algorithm significantly improved mass detection over unenhanced images.