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14 October 2022 GPU-accelerated coupled ptychographic tomography
Silvio Achilles, Simeon Ehrig, Nico Hoffmann, Maik Kahnt, Johannes Becher, Yakub Fam, Thomas Sheppard, Dennis Brückner, Andreas Schropp, Christian G. Schroer
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Proceedings Volume 12242, Developments in X-Ray Tomography XIV; 122420N (2022) https://doi.org/10.1117/12.2633102
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States
Abstract
Scanning coherent X-ray microscopy (ptychography) has gained considerable interest during the last decade since the performance of this indirect imaging technique does not necessarily rely on the quality of the X-ray optics and, in principle, can achieve highest spatial resolution in X-ray imaging. The method can be easily extended to 3D by adding standard tomographic reconstruction schemes. However, the tomographic reconstruction is often applied in a subsequent step using a sequence of aligned ptychographic 2D projections. In this contribution, we outline current developments of a GPU-accelerated framework for direct 3D ptychography, coupling 2D ptychography and tomography. The program utilizes a custom GPU-accelerated framework for ptychography that offers three distinct ptychographic reconstruction algorithms. The tomographic reconstruction runs simultaneously and uses numerical routines of the ASTRA Toolbox. This parallel-computing approach results in a high performance increase considerably reducing the reconstruction time of 3D ptychographic datasets.
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Silvio Achilles, Simeon Ehrig, Nico Hoffmann, Maik Kahnt, Johannes Becher, Yakub Fam, Thomas Sheppard, Dennis Brückner, Andreas Schropp, and Christian G. Schroer "GPU-accelerated coupled ptychographic tomography", Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122420N (14 October 2022); https://doi.org/10.1117/12.2633102
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KEYWORDS
Reconstruction algorithms
Tomography
Diffraction
Refractive index
X-rays
Zeolites
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