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

A computer simulation of wavelet noise reduction in computed tomography.

M D Harpen1

  • 1Department of Radiology, University of South Alabama, Mobile 36617, USA.

Medical Physics
|September 29, 1999
PubMed
Summary

This study simulates X-ray computed tomography (CT) to analyze noise from photon counting statistics. A novel nonlinear wavelet filter effectively reduces image noise, outperforming traditional methods.

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

Partial wave analysis of the ultrasound comet tail artifact.

Medical physics·2000
Same author

A simple theorem relating noise and patient dose in computed tomography.

Medical physics·1999
Same author

ACR standard for luminance and illuminance. American College of Radiology.

AJR. American journal of roentgenology·1999
Same author

An introduction to wavelet theory and application for the radiological physicist.

Medical physics·1998
Same author

Dynamic magnetic resonance imaging in evaluating suspicious breast lesions: correlation with pathologic findings.

Southern medical journal·1998
Same author

An analysis of the assumptions and their significance in the determination of required shielding of CT installations.

Medical physics·1998

Area of Science:

  • Medical Imaging
  • Computational Physics
  • Signal Processing

Background:

  • X-ray computed tomography (CT) imaging is crucial for medical diagnostics.
  • Image noise, particularly from photon counting statistics, degrades CT image quality.
  • Effective noise reduction techniques are vital for accurate CT analysis.

Purpose of the Study:

  • To simulate X-ray computed tomography (CT) acquisition and reconstruction processes.
  • To investigate the impact of photon counting statistics on image noise.
  • To develop and evaluate a novel noise reduction technique for CT images.

Main Methods:

  • Utilized a graphical mathematical spreadsheet programming environment for CT simulation.
  • Studied the effects of photon counting statistics on reconstructed image noise.

Related Experiment Videos

  • Developed and applied a nonlinear wavelet filter with individually calculated thresholds.

    • Main Results:

    • The simulation successfully modeled CT acquisition and reconstruction, highlighting noise sources.
    • Photon counting statistics were confirmed as a significant contributor to image noise.
    • The novel nonlinear wavelet filter demonstrated superior noise reduction compared to global thresholding methods.

    Conclusions:

    • The developed simulation provides a valuable tool for understanding CT image formation and noise.
    • The novel nonlinear wavelet filter offers an effective approach for reducing noise in CT images.
    • Individualized threshold calculation enhances the performance of wavelet-based noise reduction in CT.