Enhanced Geometrical Self-calibration of planar CT
Geometrical calibration of Cone Beam Computed Tomography (CBCT) systems is essential for achieving accurate image reconstruction and enhancing spatial resolution. A modern application of these systems is planar CT imaging (Computed Laminography), which is particularly effective for imaging flat ob...
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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=30766 |
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| Summary: | Geometrical calibration of Cone Beam Computed Tomography (CBCT) systems is essential for achieving accurate image reconstruction and enhancing spatial resolution. A modern application of these systems is planar CT imaging (Computed Laminography), which is particularly effective for imaging flat objects, such as printed circuit boards (PCBs). Among the existing calibration approaches, self-calibration, which primarily utilizing mutual information as a similarity measure, has garnered significant attention[1]. In this study, we propose the use of regional mutual information[2] as an alternative similarity metric. Our findings demonstrate that regional mutual information enhances calibration accuracy and computational cost, offering a promising advancement in this field.
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| ISSN: | 1435-4934 |