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

Signal-to-noise-ratio expressions in optical diffusion tomography.

Charles L Matson1

  • 1U.S. Air Force Research Laboratory, Kirtland Air Force Base, New Mexico 87117-5776, USA.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|May 10, 2002
PubMed
Summary

Researchers developed signal-to-noise ratio expressions for optical diffusion tomography systems. This helps improve image resolution by understanding system and material properties, validated with lab data.

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

The Aggregate behavior of branch points--measuring the number and velocity of atmospheric turbulence layers.

Optics express·2010
Same author

Primary and secondary superresolution by data inversion.

Optics express·2009
Same author

Fast and optimal multiframe blind deconvolution algorithm for high-resolution ground-based imaging of space objects.

Applied optics·2008
Same author

Biased Cramér-Rao lower bound calculations for inequality-constrained estimators.

Journal of the Optical Society of America. A, Optics, image science, and vision·2006
Same author

Image transfer through cirrus clouds. II. Wave-front segmentation and imaging.

Applied optics·2003

Area of Science:

  • Biomedical optics
  • Medical imaging
  • Photonics

Background:

  • Optical diffusion tomography (ODT) images heterogeneous turbid media using optical radiation.
  • Image noise limits spatial resolution in ODT reconstructions.
  • Understanding signal-to-noise ratio (SNR) is crucial for improving ODT.

Purpose of the Study:

  • Derive and compare Fourier-domain SNR expressions for two ODT systems.
  • Relate spatial resolution to system and material properties.
  • Provide a basis for optimizing ODT imaging.

Main Methods:

  • Derived Fourier-domain SNR expressions for amplitude-modulated and continuous-wave ODT systems.
  • Analyzed the relationship between SNR, spatial resolution, and system parameters.

Related Experiment Videos

  • Validated the derived expressions using experimental laboratory data.

    • Main Results:

    • Developed distinct SNR expressions for amplitude-modulated and continuous-wave ODT.
    • Quantified the impact of system and material properties on image SNR and resolution.
    • Demonstrated good agreement between theoretical SNR expressions and experimental results.

    Conclusions:

    • The derived SNR expressions provide a quantitative tool for assessing and improving ODT imaging.
    • Understanding SNR is key to overcoming resolution limitations in turbid media imaging.
    • This work facilitates the development of more effective ODT systems.