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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Related Experiment Video

Updated: Apr 28, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Ring artifact correction using detector line-ratios in computed tomography.

Younguk Kim, Jongduk Baek, Dosik Hwang

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    |June 13, 2014
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    Summary
    This summary is machine-generated.

    This study introduces a new method to reduce ring artifacts in computed tomography (CT) images by analyzing detector element ratios. The line-ratio technique effectively removes artifacts, improving image quality for various applications.

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    Area of Science:

    • Medical Imaging
    • Image Processing
    • Radiology

    Background:

    • Ring artifacts in computed tomography (CT) images degrade diagnostic quality.
    • Existing artifact correction methods often lack general applicability and are task-dependent.

    Purpose of the Study:

    • To develop a novel and generally applicable method for reducing ring artifacts in CT images.
    • To improve the quality of reconstructed CT images by addressing artifacts in projection data.

    Main Methods:

    • A new line-ratio method was developed, calculating ratios of adjacent detector elements in projection data.
    • Detector element sensitivity was estimated and equalized in sinogram space.
    • The method was validated using numerical simulations and experimental testing.

    Main Results:

    • The line-ratio method effectively removed stripe patterns from sinogram data.
    • Ring artifacts were significantly reduced in reconstructed CT images.
    • The proposed method demonstrated superior performance compared to conventional techniques.

    Conclusions:

    • The novel line-ratio method offers an effective and broadly applicable solution for ring artifact reduction in CT.
    • This technique enhances image quality and object delineation in CT scans.
    • Further research can explore its integration into clinical CT systems.