Experimental application of an automated alignment correction algorithm for geological CT imaging: phantom study and application to sediment cores from cold-water coral mounds
In computed tomography (CT) quality assurance, alignment of image quality phantoms is crucial for quantitative and reproducible evaluation and may be improved by alignment correction. Our goal was to develop an alignment correction algorithm to facilitate geological sampling of sediment cores taken...
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| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
12 March 2019
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| In: |
European radiology experimental
Year: 2019, Jahrgang: 3, Pages: 1-8 |
| ISSN: | 2509-9280 |
| DOI: | 10.1186/s41747-019-0091-8 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s41747-019-0091-8
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| Verfasserangaben: | Stephan Skornitzke, Jacek Raddatz, André Bahr, Gregor Pahn, Hans-Ulrich Kauczor, Wolfram Stiller |
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| 520 | |a In computed tomography (CT) quality assurance, alignment of image quality phantoms is crucial for quantitative and reproducible evaluation and may be improved by alignment correction. Our goal was to develop an alignment correction algorithm to facilitate geological sampling of sediment cores taken from a cold-water coral mount. | ||
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