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Beam hardening correction for computed tomography images using a postreconstruction method and equivalent tissue

C Y Chen1, K S Chuang, J Wu

  • 1Department of Nuclear Science, National Tsing-Hua University, Hsinchu, Taiwan.

Journal of Digital Imaging
|July 7, 2001
PubMed
Summary

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This study introduces a new postreconstruction method to fix beam-hardening artifacts in computed tomography (CT) images without needing x-ray spectrum measurements. The technique improves image quality by reducing artifacts and enhancing contrast near material boundaries.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiological Physics

Background:

  • Beam-hardening artifacts are a common problem in computed tomography (CT) imaging, affecting diagnostic accuracy.
  • Existing correction methods often require pre-acquisition x-ray spectrum measurements, which can be complex and time-consuming.

Purpose of the Study:

  • To develop and validate a novel postreconstruction method for correcting beam-hardening artifacts in CT images.
  • To achieve artifact reduction without the need for direct x-ray spectrum measurements.

Main Methods:

  • A postreconstruction approach was developed, decomposing CT image pixels into equivalent tissue percentages based on CT numbers.
  • Scout views of step wedges generated tissue-specific beam-hardening correction curves.
  • Simulated projection data was used to estimate correction terms based on tissue thickness along the ray.

Related Experiment Videos

  • Corrected projection data was then used for a second image reconstruction.

    • Main Results:

    • The proposed method demonstrated a 14% reduction in beam-hardening artifacts for aluminum.
    • Object contrast near the aluminum-water boundary increased by 18%.
    • Variations in CT numbers were reduced, and the CT number for aluminum was restored.

    Conclusions:

    • This postreconstruction method effectively corrects beam-hardening artifacts in CT images.
    • The technique offers a practical alternative by eliminating the need for x-ray spectrum measurements.
    • The results indicate improved image quality, contrast, and accuracy in CT imaging.