A platform for Image Reconstruction in X-ray Imaging - Medical Applications using CBCT and DTS algorithms

نویسندگان

  • Zacharias Kamarianakis
  • Ivan Buliev
  • Nicolas Pallikarakis
چکیده

This paper presents the architecture of a software platform implemented in C++, for the purpose of testing and evaluation of reconstruction algorithms in X-ray imaging. The fundamental elements of the platform are classes, tightened together in a logical hierarchy. Real world objects as an X-ray source or a flat detector can be defined and implemented as instances of corresponding classes. Various operations (e.g. 3D transformations, loading, saving, filtering of images, creation of planar or curved objects of various dimensions) have been incorporated in the software tool as class methods, as well. The user can easily set up any arrangement of the imaging chain objects in 3D space and experiment with many different trajectories and configurations. Selected 3D volume reconstructions using simulated data acquired in specific scanning trajectories are used as a demonstration of the tool. The platform is considered as a basic tool for future investigations of new reconstruction methods in combination with various scanning configurations.

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عنوان ژورنال:
  • The Computer Science Journal of Moldova

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2014