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3D Printing of Preclinical X-ray Computed Tomographic Data Sets
Published on: March 22, 2013
Projection-based metal-artifact reduction for industrial 3D X-ray computed tomography
Artem Amirkhanov1, Christoph Heinzl, Michael Reiter
1Institute of Computer Graphics and Algorithms, Vienna University of Technology. artem@cg.tuwien.ac.at
IEEE Transactions on Visualization and Computer Graphics
|October 29, 2011
Summary
This study introduces a novel projection-space pipeline to reduce metal artifacts in 3D X-ray computed tomography (3DXCT) scans of multi-material components. The method significantly enhances material characterization by minimizing distortions caused by metal inlays.
Area of Science:
- Materials Science
- Imaging Technology
- Non-destructive Testing
Background:
- Industrial 3D X-ray computed tomography (3DXCT) is crucial for inspecting multi-material components (e.g., electronics, automotive).
- Metal components within plastic materials cause streaking and dark-band artifacts in 3DXCT reconstructions.
- These artifacts hinder accurate material characterization, especially for plastics, and can prevent further analysis.
Purpose of the Study:
- To develop an efficient artifact-reduction technique for 3DXCT of metal-plastic components.
- To address the limitations of reconstruction-space artifact reduction methods.
- To improve material characterization in the presence of metal inclusions.
Main Methods:
- A projection-space pipeline was developed for metal artifact reduction.
- Metal parts are segmented in the spatial domain and treated as voids in projections.
- Voids are interpolated in 2D projections, and metal is reinserted during fusion.
- A visual analysis tool aids interactive parameter estimation for metal segmentation.
Main Results:
- The proposed technique significantly reduces metal artifacts in 3DXCT.
- Enhanced material characterization of plastic components is achieved.
- Demonstrated effectiveness on test parts and real-world industrial components.
Conclusions:
- The projection-space pipeline offers an effective solution for metal artifact reduction in 3DXCT.
- This method enables more reliable material characterization of complex multi-material components.
- The technique has practical implications for quality control in the electronics and automotive industries.
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