English

Compressive Phase Contrast Tomography

Optics 2012-09-24 v1 Optimization and Control

Abstract

When x-rays penetrate soft matter, their phase changes more rapidly than their amplitude. In- terference effects visible with high brightness sources creates higher contrast, edge enhanced images. When the object is piecewise smooth (made of big blocks of a few components), such higher con- trast datasets have a sparse solution. We apply basis pursuit solvers to improve SNR, remove ring artifacts, reduce the number of views and radiation dose from phase contrast datasets collected at the Hard X-Ray Micro Tomography Beamline at the Advanced Light Source. We report a GPU code for the most computationally intensive task, the gridding and inverse gridding algorithm (non uniform sampled Fourier transform).

Keywords

Cite

@article{arxiv.1009.1380,
  title  = {Compressive Phase Contrast Tomography},
  author = {F. R. N. C. Maia and A. MacDowell and S. Marchesini and H. A. Padmore and D. Y. Parkinson and J. Pien and A. Schirotzek and C. Yang},
  journal= {arXiv preprint arXiv:1009.1380},
  year   = {2012}
}

Comments

5 pages, "Image Reconstruction from Incomplete Data VI" conference 7800, SPIE Optical Engineering + Applications 1-5 August 2010 San Diego, CA United States

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