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Diffusion Imaging in the Rat Cervical Spinal Cord
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Computational corrections for anisotropic absorption in tensor tomography.

Mads Carlsen1, Marianne Liebi1

  • 1Center for Photon Science, Paul Scherrer Institut, 5232 Villigen PSI, Switzerland.

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|October 28, 2025
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Summary
This summary is machine-generated.

Anisotropic absorption in X-ray scattering tensor tomography is often ignored. This study simulates and corrects for this effect, finding conventional methods adequate for typical X-ray scattering and absorption levels.

Keywords:
X-ray diffraction computed tomographyX-ray scatteringanisotropic absorptiontensor tomography

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Area of Science:

  • Physics
  • Materials Science
  • Crystallography

Background:

  • X-ray scattering tensor tomography is sensitive to sample geometry.
  • Anisotropic absorption of scattered X-rays is an under-addressed issue in reconstruction algorithms.
  • Macroscopic sample geometry can induce anisotropic absorption.

Purpose of the Study:

  • To investigate the impact of anisotropic absorption in X-ray scattering tensor tomography.
  • To develop and validate a computational approach for correcting anisotropic absorption.
  • To compare simulation results with experimental data.

Main Methods:

  • Performing simulation studies of X-ray scattering tensor tomography.
  • Developing a computational correction method for anisotropic absorption.
  • Analyzing experimental X-ray scattering data from hydroxyapatite.

Main Results:

  • Anisotropic absorption significantly affects X-ray scattering tensor tomography at large angles.
  • The proposed computational approach effectively corrects for anisotropic absorption.
  • Simulations show trends consistent with experimental data from hydroxyapatite.

Conclusions:

  • Anisotropic absorption is a relevant factor in X-ray scattering tensor tomography.
  • Conventional transmission correction methods are sufficient for typical experimental conditions.
  • Further research may be needed for extreme absorption or scattering angles.