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

Prokop1, Schaefer-Prokop

  • 1Department of Diagnostic Radiology I, Medizinische Hochschule Hannover, D-30 623 Hannover, Germany

European Radiology
|February 21, 1997
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

Storage phosphor radiography

European radiology·1997
See all related articles

Digital processing enhances radiograph image quality by optimizing parameters like contrast and resolution. However, unsharp mask filtering (UMF) can suppress lesions, prompting the development of improved techniques.

Area of Science:

  • Radiology
  • Medical Imaging
  • Image Processing

Background:

  • Radiograph image quality depends on local contrast, spatial resolution, latitude, and noise.
  • Digital processing aims to enhance pathology visualization by optimizing these physical parameters.
  • Careful selection of processing parameters is crucial to balance contrast and latitude while maintaining a conventional appearance.

Purpose of the Study:

  • To evaluate the effectiveness of digital processing techniques in improving radiograph image quality.
  • To address the limitations of unsharp mask filtering (UMF) in medical imaging.
  • To explore advanced methods for overcoming UMF-induced artifacts and lesion suppression.

Main Methods:

  • Analysis of image quality parameters in digital radiographs.

Related Experiment Videos

  • Application and assessment of unsharp mask filtering (UMF).
  • Investigation of alternative digital processing approaches developed by manufacturers.

    • Main Results:

    • Unsharp mask filtering (UMF) can improve image quality but may suppress important pathologic findings or introduce artifacts.
    • There is an inverse relationship between contrast and latitude that requires careful management during processing.
    • Manufacturers have introduced modifications to UMF to mitigate its drawbacks.

    Conclusions:

    • Digital image processing is essential for optimizing radiograph quality and pathology detection.
    • Standard unsharp mask filtering (UMF) presents significant limitations that necessitate alternative solutions.
    • Ongoing development aims to refine digital processing techniques for more reliable and artifact-free medical imaging.