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Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Aliasing artifacts in computerized tomography.

C R Crawford, A C Kak

    Applied Optics
    |March 11, 2010
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    Summary
    This summary is machine-generated.

    Streaking artifacts in tomographic images are caused by aliasing errors in projection data. A simulation confirmed these errors create streaks, and a theoretical bound for artifact energy was derived.

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    Area of Science:

    • Medical Imaging
    • Image Reconstruction
    • Computational Imaging

    Background:

    • Filtered-backprojection (FBP) is a common algorithm for tomographic image reconstruction.
    • Streaking artifacts degrade the quality of reconstructed tomographic images.
    • The source of these artifacts in FBP has been attributed to aliasing in projection data.

    Purpose of the Study:

    • To demonstrate that aliasing errors in projection data are the cause of streaking artifacts in FBP reconstructed tomographic images.
    • To quantify the energy of these aliasing artifacts.

    Main Methods:

    • A computer simulation study was performed.
    • Transforms of undersampled projections were compared to transforms of fully sampled projections.
    • An image was reconstructed from the difference spectra to isolate artifactual components.

    Main Results:

    • The simulation successfully reproduced streaking artifacts matching those in the undersampled reconstructions.
    • A theoretical upper bound for the energy of aliasing artifacts was derived.
    • The study confirmed aliasing errors as the primary cause of streaking artifacts.

    Conclusions:

    • Aliasing errors in projection data are definitively linked to streaking artifacts in FBP.
    • Understanding these artifacts allows for potential mitigation strategies in tomographic imaging.
    • Further research may explore artifacts from other algorithmic aspects.