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Related Experiment Videos

A mixed approach to artifacts minimization in a continuous-rotate X-ray based tomographic imaging system using linear

Umesh Kumar1, G S Ramakrishna

  • 1Isotope Applications Division, Bhabha Atomic Research Centre, Trombay, Mumbai, India. umeshk@apsara.barc.ernet.in

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|October 4, 2002
PubMed
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This study adapts a digital radiographic linear detector array (LDA) for industrial X-ray tomography. A novel artifact reduction method enables cost-effective imaging of low-density specimens.

Area of Science:

  • Medical Imaging
  • Materials Science
  • Engineering

Background:

  • Industrial X-ray computed tomography (CT) systems require specialized detectors for accurate imaging.
  • General-purpose digital radiographic detectors, like linear detector arrays (LDAs), present challenges when adapted for CT due to potential artifacts.

Purpose of the Study:

  • To adapt a scintillator-based linear detector array (LDA) for a third-generation, continuous-rotate X-ray industrial tomographic imaging system.
  • To identify sources of error in projection data and develop an effective artifact minimization technique for reconstructed images.

Main Methods:

  • Adaptation of a general-purpose digital radiographic scintillator-based LDA.
  • Identification of error sources in projection data.
  • Implementation of a mixed artifact reduction approach: neighborhood averaging and row-wise low-pass filtering.

Related Experiment Videos

  • Reconstruction of images using a weighted convolution back projection algorithm.

    • Main Results:

    • The adapted LDA system successfully produced tomographic images.
    • Identified specific sources of artifacts originating from projection data errors.
    • The proposed artifact removal technique effectively minimized artifacts in the reconstructed images.
    • Demonstrated the feasibility of using the LDA for low-density specimen imaging.

    Conclusions:

    • A general-purpose digital radiographic LDA can be effectively adapted for industrial X-ray tomographic imaging.
    • The developed artifact removal technique offers a cost-effective solution for improving image quality.
    • This approach facilitates the imaging of low-density specimens in a practical and economical manner.