4.1 Article

An algebraic iterative reconstruction technique for differential X-ray phase-contrast computed tomography

Journal

ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK
Volume 23, Issue 3, Pages 186-193

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.zemedi.2012.11.002

Keywords

Differential phase-contrast imaging; computed tomography; reconstruction algorithm; algebraic itrative reconstruction

Funding

  1. National Natural Science Foundation of China [50875013, 11179009]
  2. China Beijing municipal natural science foundation [4102036]
  3. Beijing NOVA program [2009A09]
  4. DFG cluster of excellence Munich-center for Advanced Photonics (MAP)
  5. European research council (FP7) [240142]
  6. TUM Graduate School
  7. Karlsruhe Nano Micro Facility (KNMF), a Helmholtz Research Infrastructure at Karlsruhe Institute of Technology (KIT)
  8. NIGMS [R44-GM074437]
  9. NCRR [R43-RR025730]

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Iterative reconstruction has a wide spectrum of proven advantages in the field of conventional X-ray absorption-based computed tomography (CT). In this paper, we report on an algebraic iterative reconstruction technique for grating-based differential phase-contrast CT (DPC-CT). Due to the differential nature of DPC-CT projections, a differential operator and a smoothing operator are added to the iterative reconstruction, compared to the one commonly used for absorption-based CT data. This work comprises a numerical study of the algorithm and its experimental verification using a dataset measured at a two-grating interferometer setup. Since the algorithm is easy to implement and allows for the extension to various regularization possibilities, we expect a significant impact of the method for improving future medical and industrial DPC-CT applications.

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