High contrast laminography using iterative algorithms
- NázevTitle
- High contrast laminography using iterative algorithmsHigh contrast laminography using iterative algorithms
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- M. Kroupa, J. Jakůbek
- Klíčová slovaKeywords
- Data processing methods, X-ray radiography and digital radiography, Inspection with x-rays, Computerized Tomography (CT) and Computed Radiography (CR)
- DOIDOI
- 10.1088/1748-0221/6/01/C01045
- Časopis / citaceJournal / citation
- Journal of Instrumentation 6(01), C01045-C01045 (2011) · ISSN 1748-0221
- RokYear
- 2011
- JazykLanguage
- eng
- ZáznamyRecords
- ProjektProject
- Příprava, modifikace a charakterizace materiálů energetickým zářenímPreparation, Modification and Characterization of Materials by Energetic Radiation
- CitovánoCited by
- 2 (OpenAlex)
- Plný text (open access)Full text (open access)
- https://iopscience.iop.org/article/10.1088/1748-0221/6/01/C01045/pdf
- Citace ke staženíDownload citation
- TXT · BibTeX
AbstraktAbstract
3D X-ray imaging of internal structure of large flat objects is often complicated by limited access to all viewing angles or extremely high absorption in certain directions, therefore the standard method of computed tomography (CT) fails. This problem can be solved by the method of laminography. During a laminographic measurement the imaging detector is placed close to the sample while the X-ray source irradiates both sample and detector at different angles. The application of the state-of-the-art pixel detector Medipix in laminography together with adapted tomographic iterative alghorithms for 3D reconstruction of sample structure has been investigated. Iterative algorithms such as EM (Expectation Maximization) and OSEM (Ordered Subset Expectation Maximization) improve the quality of the reconstruction and allow including more complex physical models. In this contribution results and proposed future approaches which could be used for resolution enhancement are presented.
3D X-ray imaging of internal structure of large flat objects is often complicated by limited access to all viewing angles or extremely high absorption in certain directions, therefore the standard method of computed tomography (CT) fails. This problem can be solved by the method of laminography. During a laminographic measurement the imaging detector is placed close to the sample while the X-ray source irradiates both sample and detector at different angles. The application of the state-of-the-art pixel detector Medipix in laminography together with adapted tomographic iterative alghorithms for 3D reconstruction of sample structure has been investigated. Iterative algorithms such as EM (Expectation Maximization) and OSEM (Ordered Subset Expectation Maximization) improve the quality of the reconstruction and allow including more complex physical models. In this contribution results and proposed future approaches which could be used for resolution enhancement are presented.