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Computed Tomography01:10

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Tree Core Analysis with X-ray Computed Tomography
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Published on: September 22, 2023

Dimensional standard for micro X-ray computed tomography.

Brian M Patterson1, Christopher E Hamilton

  • 1Materials Science and Technology Division, PO Box 1663, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. bpatterson@lanl.gov

Analytical Chemistry
|September 18, 2010
PubMed
Summary
This summary is machine-generated.

Determining the optimal number of radiographs for 3D X-ray micro computed tomography (μCT) is crucial for accurate dimensional analysis and noise reduction. This study proposes a method using NIST-certified microspheres to find this balance, saving time and improving results.

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Area of Science:

  • Materials Science
  • Imaging Technology
  • Metrology

Background:

  • Three-dimensional (3D) X-ray micro computed tomography (μCT) is increasingly used due to lower costs and better lab X-ray sources.
  • While medical CT focuses on absorption calibration, materials science applications prioritize dimensional accuracy of features like voids and defects.
  • The optimal number of radiographs for accurate 3D μCT reconstruction and noise minimization is often overlooked.

Purpose of the Study:

  • To investigate the relationship between the number of radiographs and the dimensional accuracy and noise levels in 3D μCT reconstructions.
  • To establish a method for determining the optimal number of images for laboratory-based μCT systems.
  • To provide insights into achieving reliable volumetric statistics and accurate measurements.

Main Methods:

  • A dimensional standard using NIST-certified glass microspheres in a poly(styrene) matrix was developed.
  • Experiments were conducted using varying numbers of radiographs (theta increments) during sample rotation.
  • Microsphere size statistics were analyzed as a function of the number of radiographs using AvizoFire software.

Main Results:

  • The study quantifies how microsphere size statistics vary with the number of radiographs acquired.
  • Results demonstrate the impact of radiograph count on the precision of 3D measurements.
  • The findings highlight a trade-off between data acquisition time and the statistical significance of μCT results.

Conclusions:

  • The proposed method using microsphere standards effectively addresses the question of optimal radiograph numbers in μCT.
  • Understanding this balance is critical for accurate void distribution analysis in materials like foams.
  • This research contributes to improving the reliability and efficiency of dimensional metrology using laboratory μCT.