Abstract
The variety of modern X-ray sources opens possibilities to conduct measurements of a wide range of different specimens. The range includes objects with various properties such as the density, the amount and types of defects, and the size which can significantly change from sample to sample. Due to the development of portable high energy X-ray sources like betatrons, it is now possible to investigate objects of big sizes. Although, the fact that the dimensions of such objects can exceed the dimensions of X-ray setups requires to develop new types of scanning geometries and to adopt the algorithms of reconstruction and visualization. The scanning of an object along its longest dimension is one of the ways for investigating such objects. In this article, we present the step-shift scanning approach and the adaptation of filtered back-projection algorithm for this type of measurement. The developed algorithm allows to obtain the visualization of the whole volume of the object from the combination of all scanning steps or to visualize the separate parts of the object from the truncated dataset.
| Original language | English |
|---|---|
| Pages (from-to) | 179-187 |
| Number of pages | 9 |
| Journal | Research in Nondestructive Evaluation |
| Volume | 30 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 4 May 2019 |
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Keywords
- non-destructive testing
- reconstruction algorithm
- scanning approach
- X-Ray tomography
ASJC Scopus subject areas
- Materials Science(all)
- Condensed Matter Physics
- Mechanics of Materials
- Mechanical Engineering
Cite this
Optimized Filtered Back-Projection Tomographic Reconstruction Algorithm for the Step-Shift Scanning of a Sample. / Ozdiev, Ali Hosenovich; Afornu, Bright Kwame; Sednev, Dmitry Andreevich.
In: Research in Nondestructive Evaluation, Vol. 30, No. 3, 04.05.2019, p. 179-187.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Optimized Filtered Back-Projection Tomographic Reconstruction Algorithm for the Step-Shift Scanning of a Sample
AU - Ozdiev, Ali Hosenovich
AU - Afornu, Bright Kwame
AU - Sednev, Dmitry Andreevich
PY - 2019/5/4
Y1 - 2019/5/4
N2 - The variety of modern X-ray sources opens possibilities to conduct measurements of a wide range of different specimens. The range includes objects with various properties such as the density, the amount and types of defects, and the size which can significantly change from sample to sample. Due to the development of portable high energy X-ray sources like betatrons, it is now possible to investigate objects of big sizes. Although, the fact that the dimensions of such objects can exceed the dimensions of X-ray setups requires to develop new types of scanning geometries and to adopt the algorithms of reconstruction and visualization. The scanning of an object along its longest dimension is one of the ways for investigating such objects. In this article, we present the step-shift scanning approach and the adaptation of filtered back-projection algorithm for this type of measurement. The developed algorithm allows to obtain the visualization of the whole volume of the object from the combination of all scanning steps or to visualize the separate parts of the object from the truncated dataset.
AB - The variety of modern X-ray sources opens possibilities to conduct measurements of a wide range of different specimens. The range includes objects with various properties such as the density, the amount and types of defects, and the size which can significantly change from sample to sample. Due to the development of portable high energy X-ray sources like betatrons, it is now possible to investigate objects of big sizes. Although, the fact that the dimensions of such objects can exceed the dimensions of X-ray setups requires to develop new types of scanning geometries and to adopt the algorithms of reconstruction and visualization. The scanning of an object along its longest dimension is one of the ways for investigating such objects. In this article, we present the step-shift scanning approach and the adaptation of filtered back-projection algorithm for this type of measurement. The developed algorithm allows to obtain the visualization of the whole volume of the object from the combination of all scanning steps or to visualize the separate parts of the object from the truncated dataset.
KW - non-destructive testing
KW - reconstruction algorithm
KW - scanning approach
KW - X-Ray tomography
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U2 - 10.1080/09349847.2018.1498960
DO - 10.1080/09349847.2018.1498960
M3 - Review article
VL - 30
SP - 179
EP - 187
JO - Research in Nondestructive Evaluation
JF - Research in Nondestructive Evaluation
SN - 0934-9847
IS - 3
ER -