Improving CT reconstructions of multi-material assemblies by multi-position data fusion: a case study
X-ray computed tomography (CT) is widely used for inspecting multi-material assemblies, yet it often suffers from image artifacts caused by the differences in density and X-ray absorption between the materials. This study validates a method for selecting optimal combinations of object orientations...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | deu |
| Published: |
NDT.net
2025-02-01
|
| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30730 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | X-ray computed tomography (CT) is widely used for inspecting multi-material assemblies, yet it often suffers from image artifacts caused by the differences in density and X-ray absorption between the materials. This study validates a method for selecting optimal combinations of object orientations to improve volumetric reconstructions through multi-position CT data fusion. The approach operates in the projection domain, minimizing the need for extensive datasets while enhancing artifact mitigation. Two polymer-metal case studies are presented: the "surprise egg", featuring a single metallic element, and the "multi-material cake", involving multiple interacting metallic components. The results show that the proposed method accurately selects optimal combinations, significantly improving artifact reduction and reconstruction quality. These findings highlight the method's efficacy in tackling the prevalent challenge of multi-material artifact reduction, showcasing its promising applicability across industrial and research domains involving multi-material measurements.
|
|---|---|
| ISSN: | 1435-4934 |