Uncertainty quantification of CT regularized reconstruction within the Bayesian framework
Computed Tomography (CT) reconstruction is an important inverse problem in industrial imaging, requiring robust methods to address different sources of error in the data and model. Among the various reconstruction approaches that tackle different challenges in CT modeling [1], such as limitations i...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | deu |
| Published: |
NDT.net
2025-02-01
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| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30731 |
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