Coherent superposition in grating-based directional dark-field imaging

PLoS One. 2013 Apr 23;8(4):e61268. doi: 10.1371/journal.pone.0061268. Print 2013.

Abstract

X-ray dark-field scatter imaging allows to gain information on the average local direction and anisotropy of micro-structural features in a sample well below the actual detector resolution. For thin samples the morphological interpretation of the signal is straight forward, provided that only one average orientation of sub-pixel features is present in the specimen. For thick samples, however, where the x-ray beam may pass structures of many different orientations and dimensions, this simple assumption in general does not hold and a quantitative description of the resulting directional dark-field signal is required to draw deductions on the morphology. Here we present a description of the signal formation for thick samples with many overlying structures and show its validity in experiment. In contrast to existing experimental work this description follows from theoretical predictions of a numerical study using a Fourier optics approach. One can easily extend this description and perform a quantitative structural analysis of clinical or materials science samples with directional dark-field imaging or even direction-dependent dark-field CT.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Darkness*
  • Female
  • Femur / diagnostic imaging
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Interferometry
  • Middle Aged
  • Models, Theoretical
  • Scattering, Radiation
  • Tomography, X-Ray Computed / methods*
  • X-Rays

Grants and funding

The authors acknowledge financial support through the Deutsche Forschungsgemeinschaft (DFG) Cluster of Excellence Munich-Centre for Advanced Photonics, the DFG Gottfried Wilhelm Leibniz program, the DFG grant BA 4085/1-2, and the European Research Council (FP7, StG 240142). This work was carried out with the support of the Karlsruhe Nano Micro Facility (www.kit.edu/knmf), a Helmholtz Research Infrastructure at Karlsruhe Institute of Technology. AM acknowledges the Technische Universität München Graduate School for the support of his studies. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.