Iterative reconstruction techniques for industrial CT: application and performance
- Y-12 National Security Complex
- University of Tennessee, Knoxville (UTK)
- ORNL
BWXT Y-12, Oak Ridge National Laboratory, and the University of Tennessee have been working toward improved high-resolution X-ray computed tomography for non-destructive testing of manufactured objects. The emphasis of this work has been on iterative reconstruction, calibration, and performance testing. Algebraic reconstruction algorithms for CT have been developed that are more robust in handling incomplete and noisy data and permit high-resolution volumetric imaging on metallic part assemblies. A key source of artifacts in reconstructed CT images for industrial components is poor image statistics due to areas of high attenuation. This loss of information in the captured projections not only affects reconstruction of those areas, but also the surrounding regions. To overcome numerical instabilities arising from the ill-posed nature of inverse problems, standard regularization techniques can be applied as can Bayesian reconstruction techniques using prior data such as CAD information to improve image quality. To accelerate the reconstruction of certain regions of interest and reduce memory requirements, subvolume reconstruction has been implemented and tested. A computational framework has been implemented that facilitates the use of sophisticated iterative algorithms for reconstruction of three-dimensional images from high-resolution X-ray cone-beam projection data. The code supports parallel computing at two levels: message passing is used to farm the computation out across a network of computers while threads allow all processors available on any one computer to be used.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- Work for Others (WFO)
- DOE Contract Number:
- DE-AC05-00OR22725
- OSTI ID:
- 1003727
- Resource Relation:
- Conference: Digital Imaging X, Mashantucket, CT, USA, 20070730, 20070730
- Country of Publication:
- United States
- Language:
- English
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