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Related Experiment Videos

Digital x-ray imaging using amorphous selenium: reduction of aliasing

W G Ji1, W Zhao, J A Rowlands

  • 1Department of Medical Imaging, University of Toronto, Sunnybrook, Canada. chi@srcl.sunnybrook.utoronto.ca

Medical Physics
|November 26, 1998
PubMed
Summary
This summary is machine-generated.

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Alias reduction in digital imaging is achieved by using an equivalent presampling filter. Pixel averaging reduces aliasing artifacts but does not impact detective quantum efficiency (DQE).

Area of Science:

  • Digital Image Processing
  • Medical Imaging Detectors
  • Signal Processing

Background:

  • Aliasing artifacts degrade image quality in digital detectors.
  • Presampling filters are crucial for mitigating aliasing.
  • Pixel averaging offers a method for effective aperture control.

Purpose of the Study:

  • To analyze alias reduction using the concept of an equivalent presampling filter.
  • To establish a mathematical approach for finding equivalent presampling filters.
  • To investigate the impact of sampling parameters and pixel averaging on aliasing and detective quantum efficiency (DQE).

Main Methods:

  • Mathematical modeling of equivalent presampling filters for digital image processing algorithms.
  • Analysis of sampling period (T) and sampling aperture (tau) effects on aliasing and DQE.

Related Experiment Videos

  • Investigation of pixel averaging (M adjacent pixels) as an equivalent presampling filter.
  • Examination of fill factor's role in aliasing reduction.
  • Derivation of analytical formulas for sampled spectra and DQE.

    • Main Results:

    • Pixel averaging with appropriate parameters effectively reduces aliasing artifacts.
    • A large fill factor is beneficial for reducing aliasing.
    • The resultant DQE is independent of pixel averaging but depends on fill factor and readout electrode size.
    • Pixel averaging can improve DQE in the presence of amplifier noise compared to analog filters.

    Conclusions:

    • Pixel averaging serves as an effective digital presampling filter for reducing aliasing artifacts.
    • While pixel averaging improves image quality by reducing aliasing, it does not alter the fundamental DQE.
    • Detector design requires a compromise between aliasing reduction and other performance metrics like Modulation Transfer Function (MTF).