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Related Experiment Videos

Principles and concepts of computed tomography

J T Hathcock1, R L Stickle

  • 1Department of Radiology, Auburn University College of Veterinary Medicine, Alabama.

The Veterinary Clinics of North America. Small Animal Practice
|March 1, 1993
PubMed
Summary

Computed Tomography (CT) images use pixels and gray scales for clear visualization, offering advantages over conventional X-rays. Understanding CT image acquisition and artifacts is crucial for accurate interpretation.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Diagnostic Imaging

Background:

  • Computed Tomography (CT) images are composed of pixels, with gray scales representing X-ray attenuation by tissues.
  • Manipulation of gray scale enhances visualization of all tissues within a tomographic slice.
  • CT offers advantages over conventional X-ray techniques due to gray scale control and absence of structure superimposition.

Purpose of the Study:

  • To describe the process of acquiring a final CT image.
  • To highlight the advantages of CT imaging.
  • To identify common CT image artifacts.

Main Methods:

  • Data acquisition involves recording transmitted X-ray intensities from multiple angles.
  • Computer processing calculates the attenuation of each structure in the tomographic slice.

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  • Image display assigns appropriate gray scales for evaluating all structures, followed by data storage.

    • Main Results:

    • CT image quality is determined by pixel gray scale, reflecting X-ray attenuation.
    • Optimal gray scale manipulation allows comprehensive tissue visualization.
    • Common artifacts include aliasing, ring artifacts, beam hardening, metal, motion, partial volume averaging, and out-of-field streaking.

    Conclusions:

    • CT imaging provides superior visualization of anatomical structures compared to conventional radiography.
    • Understanding the CT image acquisition process and potential artifacts is essential for accurate diagnosis.
    • Proper interpretation of CT images relies on recognizing and differentiating artifacts from actual pathology.