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    Tomáš Faragó: GPU-accelerated reconstruction of X-ray phase contrast tomography data measured at a synchrotron

    Invitation to a lecture by T. Farago

    Title:
    GPU-accelerated reconstruction of X-ray phase contrast tomography data measured at a synchrotron

    Date/Time/Place:
    Friday October 4, 2-3 pm, A318

    Speaker:

    dr. Tomáš Faragó

    Graduated at the Faculty of Informatics MU in 2010, his diploma thesis was supervised by M. Kozubek and P. Mikulík (Faculty of Science / Physics). Worked in an IT dept. in Karlsruhe on synchrotron data, finished Ph.D. and currently attends to programming GPU computations in physics related to various imaging techniques (especially X-rays), automation and control of experiments, etc. See also https://www.ips.kit.edu/2890_5173.php.

    Abstract:
    Synchrotron X-ray beams have a very high photon flux density, which allows high-quality, high-resolution tomographic measurements to be made in less than a minute. They also have a higher degree of spatial coherence than laboratory X-ray sources, which allows the phase shifts induced by a sample to be converted into phase contrast. This allows imaging of soft tissues that do not provide sufficient absorption contrast. The possibility to scan a large number of samples in 3D with high resolution in a short time allows time-resolved 3D studies, which has many applications in materials research and life sciences. We will briefly discuss the physics behind synchrotron imaging, the principles of tomographic measurements and describe the complete data acquisition scheme for high-throughput tomographic measurements. We will then present some tomographic reconstruction algorithms and focus on the filtered back projection that we use in practice. We will discuss its parallelization possibilities and describe in detail a GPU-based implementation that is fast enough to reconstruct the data online while the acquisition is running. This allows the reconstruction to be used immediately for preview and quality assured measurements. We will also highlight typical challenges and reconstruction artifacts and how they are dealt with. Finally, we will show several examples from different application fields.
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