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syris: a flexible and efficient framework for X-ray imaging experiments simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F17%3A00098888" target="_blank" >RIV/00216224:14310/17:00098888 - isvavai.cz</a>

  • Result on the web

    <a href="http://onlinelibrary.wiley.com/doi/10.1107/S1600577517012255/abstract" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1107/S1600577517012255/abstract</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1107/S1600577517012255" target="_blank" >10.1107/S1600577517012255</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    syris: a flexible and efficient framework for X-ray imaging experiments simulation

  • Original language description

    An open-source framework for conducting a broad range of virtual X-ray imaging experiments, syris, is presented. The simulated wavefield created by a source propagates through an arbitrary number of objects until it reaches a detector. The objects in the light path and the source are time-dependent, which enables simulations of dynamic experiments, e.g. four-dimensional time-resolved tomography and laminography. The high-level interface of syris is written in Python and its modularity makes the framework very flexible. The computationally demanding parts behind this interface are implemented in OpenCL, which enables fast calculations on modern graphics processing units. The combination of flexibility and speed opens new possibilities for studying novel imaging methods and systematic search of optimal combinations of measurement conditions and data processing parameters. This can help to increase the success rates and efficiency of valuable synchrotron beam time. To demonstrate the capabilities of the framework, various experiments have been simulated and compared with real data. To show the use case of measurement and data processing parameter optimization based on simulation, a virtual counterpart of a high-speed radiography experiment was created and the simulated data were used to select a suitable motion estimation algorithm; one of its parameters was optimized in order to achieve the best motion estimation accuracy when applied on the real data. syris was also used to simulate tomographic data sets under various imaging conditions which impact the tomographic reconstruction accuracy, and it is shown how the accuracy may guide the selection of imaging conditions for particular use cases.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Synchrotron Radiation

  • ISSN

    1600-5775

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    November

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

    1283-1295

  • UT code for WoS article

    000414172900018

  • EID of the result in the Scopus database