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Related Experiment Videos

Helical CT: principles and technical considerations

J A Brink1, J P Heiken, G Wang

  • 1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110.

Radiographics : a Review Publication of the Radiological Society of North America, Inc
|July 1, 1994
PubMed
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Optimizing helical CT performance involves balancing user-defined parameters like collimation and pitch for better longitudinal resolution. Careful selection minimizes trade-offs, improving image quality and diagnostic efficiency.

Area of Science:

  • Medical Imaging
  • Radiology
  • Computed Tomography

Background:

  • Helical CT (Computed Tomography) performance relies on user-defined parameters.
  • These parameters exceed those of conventional CT, requiring careful selection for optimal results.

Purpose of the Study:

  • To outline key user-defined parameters for helical CT.
  • To discuss the trade-offs associated with minimizing these parameters for enhanced longitudinal resolution.

Main Methods:

  • Analysis of user-defined parameters: collimation, table increment (pitch), and reconstruction interval.
  • Evaluation of trade-offs: section thickness, pixel noise, coverage, processing time, data storage, and physician review time.

Main Results:

Related Experiment Videos

  • Minimizing collimation reduces section thickness but increases noise.
  • A pitch of 1 optimizes section thickness but limits coverage; pitches up to 2 are acceptable with 180-degree interpolation.
  • Reconstruction interval minimization impacts processing time and data storage.

    • Conclusions:

    • For routine diagnosis, reconstruct 1-2 sections per table increment.
    • For multiplanar and 3D imaging, reconstruct at least 3 sections per table increment.
    • Scan duration is influenced by patient and machine factors.