Compressive Phase Contrast Tomography

F. R. N. C. Maia, A. MacDowell, S. Marchesini, H. A. Padmore, D. Y. Parkinson, J. Pien, A. Schirotzek, C. Yang
National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
Proc. SPIE 7800, 78000F (2010), arXiv:1009.1380v1 [physics.optics] (7 Sep 2010)


   title={Compressive Phase Contrast Tomography},

   author={Maia, F. and MacDowell, A. and Marchesini, S. and Padmore, H.A. and Parkinson, D.Y. and Pien, J. and Schirotzek, A. and Yang, C.},

   journal={Arxiv preprint arXiv:1009.1380},



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When x-rays penetrate soft matter, their phase changes more rapidly than their amplitude. Interference 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 contrast 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).
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