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

The degradation function in conventional tomography

J W Israel, S R Amtey

    Medical Physics
    |November 1, 1980
    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

    Comment on "Magnetic repulsion of linear contaminates" [Med. Phys. 23, 953-955 (1996)].

    Medical physics·1996
    Same author

    The systemic effect of cancers on human sera proton NMR relaxation times.

    Magnetic resonance imaging·1984
    Same author

    Enhanced T1 differentiation between normal and dystrophic muscles.

    Magnetic resonance imaging·1984
    Same author

    NMR and water proton relaxation in tissues.

    Magnetic resonance imaging·1982
    Same author

    Evaluation of muscle degeneration in inherited muscular dystrophy by nuclear magnetic resonance techniques.

    Magnetic resonance imaging·1982
    Same author

    Contrast-detail-dose and dose efficiency analysis of a scanning digital and a screen-film-grid radiographic system.

    Medical physics·1981
    Same journal

    Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

    Medical physics·2026
    Same journal

    Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

    Medical physics·2026
    Same journal

    Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

    Medical physics·2026
    Same journal

    Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

    Medical physics·2026
    Same journal

    Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

    Medical physics·2026
    Same journal

    Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

    Medical physics·2026
    See all related articles

    A new method determines tomographic X-ray imaging properties by analyzing mechanical motion. This approach uses a degradation function to relate stationary and tomographic modes, simplifying imaging analysis.

    Area of Science:

    • Medical Imaging
    • X-ray Tomography
    • Biomedical Engineering

    Background:

    • Accurate assessment of imaging system performance is crucial in medical diagnostics.
    • Characterizing the imaging properties of tomographic X-ray units can be complex.
    • Understanding the relationship between mechanical motion and image quality is essential.

    Purpose of the Study:

    • To develop a method for directly determining the imaging characteristics of tomographic X-ray units.
    • To establish a relationship between the mechanical motion of the unit and its imaging performance.
    • To simplify the process of evaluating imaging properties in tomographic mode.

    Main Methods:

    • Describing the mechanical motions of the tomographic X-ray unit using vector equations.

    Related Experiment Videos

  • Deriving a "degradation function" from the vector equation.
  • Relating the optical transfer function (OTF) in tomographic mode to the OTF in stationary mode using the degradation function.
  • Validating the method using star pattern analysis.

    • Main Results:

    • A degradation function was derived, acting as a multiplicative factor.
    • This function directly links the OTF in tomographic mode to the OTF in stationary mode.
    • The method allows for simplified determination of tomographic imaging properties when stationary properties are known or negligible.
    • Experimental verification using a star pattern confirmed the method's validity.

    Conclusions:

    • The developed method provides a direct and simplified approach to assess tomographic X-ray imaging characteristics.
    • Analyzing mechanical motion offers a powerful tool for understanding and predicting image quality in tomography.
    • This technique can streamline the evaluation and optimization of tomographic X-ray systems.