Simple, contrast based, compartmentalization in 3D reconstruction from CT images

Authors

  • A. S. Kussainov Faculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan; National Nanotechnology Laboratory of Open Type, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan http://orcid.org/0000-0002-1399-4089
  • N. O. Saduev Faculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan; National Nanotechnology Laboratory of Open Type, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan
  • M. A. Em Faculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan http://orcid.org/0000-0003-0998-108X
  • M. A. Mukhatay Faculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan http://orcid.org/0000-0002-4075-6254
  • Y. T. Myrzabek Faculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan http://orcid.org/0000-0002-3959-688X

DOI:

https://doi.org/10.26577/phst.2020.v7.i1.06
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Abstract

We are interested in different procedures and techniques to preprocess and postprocess the data in computed
tomography reconstruction methods to achieve the better contrast, resolution or other types of the functional
analysis of the data. We report the straightforward application of the imaging artifacts treating technique,
that is the elimination of the overexposure artifact due to the presence of the metal object, for producing
the elementary image compartmentalization results with the artificial bone sample CT data. Thus, the high
absorption artifacts removal technique is given the complimentary function of the structural analysis and
revealing the metal pins scaffolding skeleton. The basic multilevel thresholding is used to reveal the
targeted structures. The results could be extremely useful for the noisy, unfiltered X-ray source, single run
data sets. The data have been supplied by the homemade CT scanner assembly and processed with the
custom reconstruction software developed specifically for this setup. OpenCV package tools for the C/C++
libraries compiled with the MS Visual Studio IDE compiler were extensively used.

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How to Cite

Kussainov, A. S., Saduev, N. O., Em, M. A., Mukhatay, M. A., & Myrzabek, Y. T. (2020). Simple, contrast based, compartmentalization in 3D reconstruction from CT images. Physical Sciences and Technology, 7(1-2), 38–42. https://doi.org/10.26577/phst.2020.v7.i1.06

Issue

Vol. 7 No. 1-2 (2020): PHYSICAL SCIENCES AND TECHNOLOGY

Section

Theoretical Physics and Astrophysics

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