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Investigations into the Geometric Calibration and Systematic Effects of a Micro-CT System.

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Summary

Accurate calibration of micro-computed tomography (µCT) systems is crucial for detailed imaging. This study introduces a self-calibration method using steel ball bearings to precisely determine µCT geometry, improving measurement accuracy.

Keywords:
X-ray computed tomographyinstrument geometrymeasurement uncertaintysystem calibration

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Area of Science:

  • Metrology
  • Imaging Science
  • Materials Science

Background:

  • Micro-Computed Tomography (µCT) is vital for non-destructive internal structure analysis.
  • Accurate geometric calibration is essential for precise measurements in µCT voxel data.
  • Existing calibration methods may require known phantom coordinates or complex setups.

Purpose of the Study:

  • To develop and validate a self-calibration method for µCT systems.
  • To determine unknown µCT system geometry parameters without prior coordinate knowledge.
  • To assess the accuracy and robustness of the proposed calibration approach.

Main Methods:

  • Utilized projections of a calibration phantom with steel ball bearings.
  • Employed non-linear least squares optimization to adjust unknown geometry parameters.
  • Investigated multiple geometric models for self-calibration suitability.
  • Tested implementation across various magnifications.

Main Results:

  • Achieved determination of geometry model parameters with sub-pixel detector error (0.18–0.27 px).
  • Demonstrated the effectiveness of the self-calibration approach using steel ball bearings.
  • Investigated residual systematic errors and system instabilities post-calibration.

Conclusions:

  • The presented self-calibration method provides accurate µCT geometry determination.
  • The approach enhances the reliability of geometric measurements in µCT.
  • Published source code facilitates further research and application in µCT calibration.