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

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...

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Veröffentlicht in:E-journal of Nondestructive Testing 2023-03, Vol.28 (3)
Hauptverfasser: Wittl, Simon, Weiss, Anton, Herl, Gabriel, Zabler, Simon
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Weiss, Anton
Herl, Gabriel
Zabler, Simon
description 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.
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title Keep Attention to the Mapping:Application of AI for Geometric X-Ray CT Scan Calibration
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