CAD-based x-ray CT calibration and error compensation

Abstract

Artifacts due to imperfect determination of the scanner geometry, beam hardening and diffuse Compton scattering, limit the quantitative exploitation of radiographs or tomographies for non-destructive evaluation. Exploiting the CAD model of an industrial part, a methodology is proposed to refine the estimation of the CT-scanner geometry up to a scale factor, to correct or account for artifacts, and to assess the metrology of the part. A projective model describing the formation of X-ray images in CT-scanners is first introduced. The optimal parameters of the projective model are identified using a novel CAD-based calibration method that relies on the registration of simulated projections onto experimental ones. A metrological analysis based on the comparison between acquired and simulated X-ray images is proposed. A turbine blade, for which an automatic inspection procedure from few views is under development, is used as an example to illustrate the proposed methodology. The parametrization accounts for the refinement of the projection geometry, the calibration of beam hardening and the estimation of scattering. It is shown that, using the proposed procedure, the differences between acquired and simulated radiographic images are significantly reduced, indicating that the optimal parameters are properly identified. These differences are then exploited to detect flaws of the part.

3D Digital Modeling of Dental Casts from Their 3D CT Images with Scatter and Beam-Hardening Correction

“…However, there are some challenges associated with CT scanning of dental casts, such as scatter and beam-hardening artifacts [ 7 ]. These artifacts can significantly degrade the accuracy of the resulting 3D models [ 8 ].…”

Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction

“…CAD models were used in [13] to correct for scattering in XCT measurements for metal parts. In [14], through registration of the CAD models and the actual CT of the part, followed by forward projection and a similar parameter estimation scheme as in [12], authors have reduced BH and scattering artifacts enabling improved reconstruction quality.…”