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Tree Core Analysis with X-ray Computed Tomography
06:56

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Published on: September 22, 2023

Bronnikov-aided correction for x-ray computed tomography.

Yoni De Witte1, Matthieu Boone, Jelle Vlassenbroeck

  • 1Department of Subatomic and Radiation Physics, Ghent University, Proeftuinstraat 86, 9000 Ghent, Belgium. Yoni.DeWitte@UGent.be

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|April 3, 2009
PubMed
Summary
This summary is machine-generated.

A new method called Bronnikov-aided correction (BAC) removes phase contrast artifacts in x-ray computed tomography (CT) scans. This technique improves image quality for very-low-absorbing samples, enabling clearer reconstructions without significant effort.

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Area of Science:

  • Medical Imaging
  • Physics

Background:

  • X-ray computed tomography (CT) is a powerful imaging technique.
  • Scans of low-absorbing samples can produce mixed absorption and phase contrast signals.
  • Phase contrast in CT images can lead to severe artifacts in reconstructed slices.

Purpose of the Study:

  • To develop and evaluate a method for correcting phase contrast artifacts in x-ray CT.
  • To improve the quality of reconstructed images from samples with low absorption.

Main Methods:

  • A novel correction method, Bronnikov-aided correction (BAC), was applied to projection images.
  • The BAC method removes phase contrast signals from mixed phase and absorption images.
  • Corrected images were reconstructed using a standard filtered backprojection algorithm.

Main Results:

  • The BAC method effectively removed phase artifacts from CT reconstructions.
  • Reconstructions using BAC showed significantly fewer artifacts compared to conventional methods.
  • The method was successfully tested on both biological and pharmaceutical samples.

Conclusions:

  • Bronnikov-aided correction (BAC) is an effective technique for mitigating phase contrast artifacts in x-ray CT.
  • BAC can be broadly applied across various applications with minimal additional effort.
  • This method enhances the utility of CT for imaging very-low-absorbing samples.