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Multiple scattering tomography.

Peter Modregger1, Matias Kagias2, Silvia Peter2

  • 1Swiss Light Source, Paul Scherrer Institut, 5232 Villigen, Switzerland and Centre d'Imagerie BioMédicale, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.

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This summary is machine-generated.

This study introduces a new line integral method to reconstruct angular scattering distributions in tomographic imaging, overcoming challenges posed by multiple scattering. The technique enhances structural sensitivity and broadens applicability across various imaging modalities.

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Area of Science:

  • Physics
  • Materials Science
  • Imaging Science

Background:

  • Multiple scattering complicates data interpretation in modern tomographic imaging.
  • Accurate reconstruction of scattering distributions is crucial for material characterization and imaging.
  • Existing methods struggle with the effects of multiple scattering.

Purpose of the Study:

  • To develop a novel line integral for tomographic reconstruction in the presence of multiple scattering.
  • To enable the reconstruction of angular resolved scattering distributions.
  • To demonstrate the method's applicability and enhanced structural sensitivity.

Main Methods:

  • Derivation of a new line integral applicable to various probes and imaging techniques.
  • Experimental validation using x-ray grating interferometry.
  • Tomographic reconstruction of angular resolved scattering distributions.

Main Results:

  • Successful tomographic reconstruction of angular resolved scattering distributions was achieved despite multiple scattering.
  • The derived line integral proved effective in overcoming multiple scattering challenges.
  • X-ray grating interferometry demonstrated enhanced structural sensitivity, highlighting the impact of multiple scattering tomography.

Conclusions:

  • The developed line integral method significantly advances tomographic imaging by addressing multiple scattering.
  • This framework offers broader applicability and improved structural information extraction.
  • The findings pave the way for more robust and sensitive tomographic imaging techniques.