Geometry Calibration Correction for Truncated Detector CT
In industrial Computed Tomography (CT), objects are often reconstructed from a circular scan trajectory. This reconstruction is possible even if only half of the object is visible in the detector at any given time, but at the cost of redundancies that can be used for the correction of miscalibrations. We propose a scheme for recalibration using only a sinogram of projections truncated in such a manner. The sinogram does not need to be of any particular phantom and can depict any object. We show that the scheme is effective and produces calibrations that are similarly accurate as their untruncated counterparts.
Author(s): | Markus Wedekind, Darvin Mertsch, Susana Castillo, Marcus Magnor |
---|---|
Published: | February 2023 |
Type: | Article |
Journal: | e-Journal of Nondestructive Testing (eJNDT) Vol. 28 |
DOI: | 10.58286/27754 |
Presented at: | Conference on Industrial Computed Tomography (iCT) 2023 |
Note: | iCT Special Issue |
Project(s): | Computed Tomography |
@article{wedekind2023geometry, title = {Geometry Calibration Correction for Truncated Detector {CT}}, author = {Wedekind, Markus and Mertsch, Darvin and Castillo, Susana and Magnor, Marcus}, journal = {e-Journal of Nondestructive Testing (e{JNDT})}, doi = {10.58286/27754}, volume = {28}, number = {3}, note = {i{CT} Special Issue}, month = {Feb}, year = {2023} }
Authors
Markus Wedekind
Fmr. ResearcherDarvin Mertsch
ExternalSusana Castillo
Senior ResearcherMarcus Magnor
Director, Chair