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The Data Quality Toolkit offers a collection of advanced CT data processing techniques to correct common data quality issues - which are described below. Lumafield’s correction techniques will be applied and produce a new corrected Reconstruction in your Project. Perform analysis on the corrected Reconstruction to produce high-fidelity results.
NOTE: As of January 2026, Labs does not support customers who are on On-Prem or GovCloud. If you do not see Labs in your toolbar, you are likely in one of these configurations.

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Accessing the Data Quality Toolkit

Select the Labs Tool from the Toolbar, then open the Data Quality Toolkit App. Find DQT

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Identify artifacts

To begin using the Data Quality Toolkit, select the radiographs that your new reconstruction will be based on. For most Projects, this is an object called Projections. Select a preview Reconstruction or ROI. A Reconstruction or ROI in which the part is most easily visible is the best choice, as this will serve as the object from which artifacts will be identified. Choosing an aligned ROI may help with 2D visualization. Select Load Data to continue. DQT Load Projection Select Start Artifact Identification, and progress through each of the six artifact modules. In each module, an image and description of the artifact is provided - zoom, pan, rotate and scrub through the data in the Viewport to confirm the presence or absence of that artifact. Each artifact is described in greater detail below. For each artifact module, select Yes if the artifact is present or No if it is absent, then select Next to continue to the next module. DQT Identifying Artifacts At the end of the artifact modules, the Configuration Summary displays the corrections queued based on which artifacts were selected. Some corrections have parameters that must be specified. On the next page, choose any necessary parameters for the queued corrections. For each correction, a description explains how parameters should be chosen.
Manually choose corrections to apply at this step within the Advanced Tab of the Configuration Summary. Beam Hardening Correction and Downsampling correction techniques are available within the Advanced Tab.
DQT Parameter Selection Submit the Workflow. The estimated time until the Workflow completes will be displayed, and the new Reconstruction will automatically populate in the Data Panel when ready. DQT Sumbit Workflow

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Artifact removal techniques

Learn more about each of the artifact removal techniques in the Data Quality Workflow below to understand how it improves scan data.
Eliminate artificial ring patterns that can be confused with real defects. When no physical ring was present in the part but rings appear in the scan data, use Ring Removal to remove these unwanted circular artifacts.
Suppress streaks, shadows, and bright/dark bands caused by high-density materials that can hide real defects. When metal in the part produces beam hardening, scatter, or streak artifacts in the reconstruction, use Metal Artifact Reduction to reduce those distortions and reveal the true internal geometry.Examples include:
  • Soap dispenser pumps
  • Screws in plastic assemblies
  • Electronics
  • Needles in injection-molded housings
Applies material-aware, physics-based corrections to reduce Beam Hardening artifacts—like cupping and streaking—in reconstructed images. Physics-Based Processing models complex interactions (X-rays, scatter, and material attenuation) to restore accurate contrast and geometry, and works alongside other artifact-reduction techniques to deliver more accurate, higher-quality scans.
Fix small misalignments in the scanner’s rotation center that cause doubling, blurring, or asymmetry in reconstructions. If features appear duplicated or smeared because the rotation axis was off, apply AOR Correction to realign the projection geometry before reconstructing the volume.
Reduce random noise in radiographs or reconstructed volumes while preserving genuine features. When scans are grainy—for example from short exposure time and high gain—use Denoising to suppress noise so defects become easier to detect without erasing real structures.
Reduces streaking and shading that appear at object tips and edges near the top and bottom of the scan volume. These artifacts form on surfaces parallel to the principal ray along the rotation axis (and are worsened by wide cone angles); Cone Beam Reduction corrects the cone-beam geometry to restore accurate edge/tip shape and contrast.
The Data Quality Toolkit is an experimental Voyager Labs Applet with an ever-expanding set of artifact correction algorithms. Be on the lookout for new artifact reduction techniques in the Data Quality Toolkit. Reach out to support@lumafield.com with questions about this tool.