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

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 ar...

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Main Authors: A. S. Kussainov, N. O. Saduev, M. A. Em, M. A. Mukhatay, Y. T. Myrzabek
Format: Article
Language:English
Published: Al-Farabi Kazakh National University 2020-05-01
Series:Physical Sciences and Technology
Online Access:http://phst/index.php/journal/article/view/196
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author A. S. Kussainov
N. O. Saduev
M. A. Em
M. A. Mukhatay
Y. T. Myrzabek
author_facet A. S. Kussainov
N. O. Saduev
M. A. Em
M. A. Mukhatay
Y. T. Myrzabek
author_sort A. S. Kussainov
collection DOAJ
description 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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spelling doaj.art-ed3bc6808df04244ab98ebedc7967a1c2023-10-30T13:10:53ZengAl-Farabi Kazakh National UniversityPhysical Sciences and Technology2409-61212020-05-0171-2Simple, contrast based, compartmentalization in 3D reconstruction from CT imagesA. S. Kussainov0N. O. Saduev1M. A. Em2M. A. Mukhatay3Y. T. Myrzabek4Faculty 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, KazakhstanFaculty 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, KazakhstanFaculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, KazakhstanFaculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, KazakhstanFaculty of Physics and Technology, al-Farabi Kazakh National University, 71, al-Farabi Ave, 050040, Almaty, Kazakhstan 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. http://phst/index.php/journal/article/view/196
spellingShingle A. S. Kussainov
N. O. Saduev
M. A. Em
M. A. Mukhatay
Y. T. Myrzabek
Simple, contrast based, compartmentalization in 3D reconstruction from CT images
Physical Sciences and Technology
title Simple, contrast based, compartmentalization in 3D reconstruction from CT images
title_full Simple, contrast based, compartmentalization in 3D reconstruction from CT images
title_fullStr Simple, contrast based, compartmentalization in 3D reconstruction from CT images
title_full_unstemmed Simple, contrast based, compartmentalization in 3D reconstruction from CT images
title_short Simple, contrast based, compartmentalization in 3D reconstruction from CT images
title_sort simple contrast based compartmentalization in 3d reconstruction from ct images
url http://phst/index.php/journal/article/view/196
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AT nosaduev simplecontrastbasedcompartmentalizationin3dreconstructionfromctimages
AT maem simplecontrastbasedcompartmentalizationin3dreconstructionfromctimages
AT mamukhatay simplecontrastbasedcompartmentalizationin3dreconstructionfromctimages
AT ytmyrzabek simplecontrastbasedcompartmentalizationin3dreconstructionfromctimages