X-ray computed tomography
Рентгеновская компьютерная томография
2021-02-25
SCID: 54.1/3rbzwnxr
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3D image segmentationCT reconstructionX-ray computed tomographyhigh-resolution X-ray CTsynchrotron X-ray CT
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Abstract (AI)
This Primer on X-ray computed tomography explores the different experimental configurations for three-dimensional data acquisition as well as the fundamentals of three-dimensional data reconstruction, segmentation and analysis with examples across the physical and life sciences.
Key Findings
1
Computational reconstruction from 2D radiographs to 3D images and subsequent segmentation enable visualization and quantitative analysis.
2
High-resolution X-ray CT is applicable across materials, metrology, manufacturing, food, biological, geological and palaeontological sciences beyond medical/industrial uses.
3
Potential limitations include radiation damage, common imaging artefacts, and reproducibility issues, which must be considered for future advances.
4
X-ray CT can follow structural evolution in 3D in real time or time-lapse to monitor manufacturing processes and in-service behaviour or degradation of components.
5
X-ray CT non-destructively reveals internal 3D structure and can be acquired using X-ray tubes or synchrotron sources with multiple contrast modes.
Research Object
X-ray computed tomography (CT) imaging of three-dimensional internal structures
Research Subject
Principles, experimental configurations, image reconstruction, segmentation, analysis, contrast modes, resolution/applications, artefacts, radiation damage, reproducibility, and time-resolved studies using high-resolution X-ray CT
Publication Details
Publication Date
2021-02-25
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