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Related Experiment Video

Updated: Jun 2, 2026

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
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Published on: July 12, 2022

Suppression of ring artefacts when tomographing anisotropically attenuating samples.

Sofya Titarenko1, Valeriy Titarenko, Albrecht Kyrieleis

  • 1Department of Mathematics, Faculty of Physics, Moscow State University, Leninskie Gory, Moscow 119991, Russia. valeriy.titarenko@manchester.ac.uk

Journal of Synchrotron Radiation
|April 29, 2011
PubMed
Summary

This study introduces a new method to suppress ring artifacts in computerized X-ray tomography (CXT) for rotating samples. The technique uses an analytical formula for rapid correction, improving image quality in various CXT geometries.

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Area of Science:

  • Medical Imaging
  • Materials Science
  • Computational Science

Background:

  • Computerized X-ray tomography (CXT) is susceptible to ring artifacts caused by sample rotation.
  • These artifacts degrade the quality of tomographic reconstructions, especially for objects with varying attenuation.
  • Existing methods may not be universally applicable or efficient.

Purpose of the Study:

  • To present a novel, rapid method for suppressing ring artifacts in CXT.
  • To ensure the method's applicability to both parallel and cone-beam CXT geometries.
  • To validate the technique's effectiveness on diverse sample types.

Main Methods:

  • Development of an analytical formula for artifact correction.
  • Implementation of the correction via matrix-vector multiplication.
  • Testing the method on paleontological and composite material samples.

Main Results:

  • Successful suppression of ring artifacts was demonstrated.
  • The method proved effective for both parallel and cone-beam CXT.
  • High-quality tomographic reconstructions were achieved for complex samples.

Conclusions:

  • The proposed method offers an efficient and effective solution for ring artifact reduction in CXT.
  • This technique enhances the reliability of CXT for analyzing rotating or heterogeneous samples.
  • The approach is versatile and applicable across different CXT setups and sample types.