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

Method for reducing background artifacts from images in single-photon emission computed tomography with a uniformly

Olga I Vassilieva1, Roy C Chaney

  • 1University of Texas at Dallas, Richardson 75083-0688. (((, USA.)))

Applied Optics
|March 20, 2002
PubMed
Summary

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

Phoenix Mars Mission--the thermal evolved gas analyzer.

Journal of the American Society for Mass Spectrometry·2008
See all related articles

Uniformly redundant array coded apertures show promise for reducing artifacts in single-photon emission computed tomography (SPECT) imaging. Composite imaging significantly minimizes these artifacts, improving diagnostic accuracy for conditions like breast tumors.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Computational Physics

Background:

  • Uniformly redundant array (URA) coded apertures are effective collimator designs in X-ray astronomy.
  • Initial expectations suggested URA collimators would be equally successful in single-photon emission computed tomography (SPECT).
  • However, URA collimators in SPECT produce images with artifacts that obscure true details and may lead to misdiagnosis.

Purpose of the Study:

  • To investigate the efficacy of composite imaging in reducing artifacts in SPECT.
  • To evaluate the potential of URA coded apertures in SPECT imaging with artifact reduction.

Main Methods:

  • Utilizing Monte Carlo simulations to model SPECT imaging with URA coded apertures.
  • Generating composite images from simulated SPECT data.

Related Experiment Videos

  • Simulating a compressed breast phantom with a tumor to assess image quality.

    • Main Results:

    • Monte Carlo simulations demonstrated that composite image formation significantly reduces artifacts.
    • A simulated 5 mm x 5 mm x 5 mm tumor within a compressed breast phantom was clearly visualized.
    • The tumor exhibited a 6:1 intensity ratio relative to the background tissue in the composite image.

    Conclusions:

    • Composite imaging is a viable strategy for mitigating artifacts in SPECT utilizing URA coded apertures.
    • This technique enhances the clarity of SPECT images, potentially improving diagnostic capabilities for small lesions.
    • The simulation results suggest improved detection of tumors in breast imaging applications.