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Extending the Field of View in Modulation-Based X-Ray Phase Microtomography

  • Dominik John
  • , Junan Chen
  • , Christoph Gabner
  • , Sara Savatovic
  • , Lisa Marie Petzold
  • , Sami Wirtensohn
  • , Mirko Riedel
  • , Jorg U. Hammel
  • , Julian Moosmann
  • , Felix Beckmann
  • , Matthias Wieczorek
  • , Julia Herzen
  • Physik-Department
  • Technical University of Munich
  • Institute of Materials Physics
  • Helmholtz-Zentrum Hereon outstation at Heinz Maier-Leibnitz Zentrum (MLZ)
  • ImFusion GmbH
  • University of Padova

Research output: Contribution to journal › Article › peer-review

Abstract

Recent advances in propagation-based phase-contrast imaging, such as hierarchical imaging, have enabled the visualization of internal structures in large biological specimens and material samples. However, modulation-based techniques, which provide quantitative electron density information, face challenges when imaging larger objects due to stringent beam stability requirements and detector distortions. Extending the field of view of these methods is crucial for obtaining comparable quantitative results across beamlines and adapting to the smaller beam profiles of fourth-generation synchrotron sources. We introduce a novel image processing technique combining an eigenflat optimization with deformable image registration to address the challenges and enable quantitative high-resolution scans of centimeter-sized objects with multiple-micrometer resolution. We demonstrate the potential of the method by obtaining an electron density map of a rat brain sample 15mm in diameter despite the limited horizontal field of view of 6mm of the beamline. This showcases the technique's ability to significantly widen the range of applications of modulation-based techniques in both biological and materials science research.

Original languageEnglish
Pages (from-to)3411-3420
Number of pages10
JournalIEEE Transactions on Image Processing
Volume35
DOIs
StatePublished - 2026

Keywords

  • Principle component analysis
  • deformable image registration
  • eigenflat optimization

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