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- Title
Quantitative Determination of Partial Voxel Compositions with X-ray CT Image-Based Data-Constrained Modelling.
- Authors
Wang, Haipeng; Mu, Xinsheng; Zhou, Xinyue; Yang, Yu-Shuang
- Abstract
X-ray CT imaging is an important three-dimensional non-destructive testing technique, which has been widely applied in various fields. However, segmenting image voxels as discrete material compositions may lose information below the voxel size. In this study, six samples with known volume fractions of compositions were imaged using laboratory micro-CT. Optical microscopic images of the samples reveal numerous small particles of compositions smaller than the CT voxel size within the samples. By employing the equivalent energy method to determine the X-ray beam energy for sample imaging experiments, data-constrained modelling (DCM) was used to obtain the volume fractions of different compositions in the samples for each voxel. The results demonstrated that DCM effectively captured information about compositions occupying CT voxels partially. The computed volume fractions of compositions using DCM closely matched the known values. The results of DCM and four automatic threshold segmentation algorithms were compared and analyzed. The results showed that DCM has obvious advantages in processing those samples containing a large number of particles smaller than the CT voxel size. This work is the first quantitative evaluation of DCM for laboratory CT image processing, which provides a new idea for multi-scale structure characterization of materials based on laboratory CT.
- Subjects
COMPUTED tomography; X-ray computed microtomography; NONDESTRUCTIVE testing; IMAGE processing; MULTISCALE modeling
- Publication
Applied Sciences (2076-3417), 2024, Vol 14, Issue 16, p7407
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app14167407