Keep Attention to the Mapping:Application of AI for Geometric X-Ray CT Scan Calibration

This paper presents a method for mapping markers from CT calibration bodies in X-ray projections. In twin robotic CT systems, determining projection geometry from projection views is essential for reconstruction. Many algorithms, such as direct linear transformation (DLT), use a calibration body for...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:E-journal of Nondestructive Testing 2023-03, Vol.28 (3)
Hauptverfasser: Wittl, Simon, Weiss, Anton, Herl, Gabriel, Zabler, Simon
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a method for mapping markers from CT calibration bodies in X-ray projections. In twin robotic CT systems, determining projection geometry from projection views is essential for reconstruction. Many algorithms, such as direct linear transformation (DLT), use a calibration body for this purpose. This consists of individual markers that must be individually assigned in a single X-ray projection. In the described approach, a transformation model is used to map the coordinates of the 2D marker centers to the correct index. This allows the use of freely designed calibration bodies, where the arrangement of the markers is not limited to geometric arrangements.
ISSN:1435-4934
1435-4934
DOI:10.58286/27747