Data Quality Toolkit Overview
What It Is
The Data Quality Toolkit is a suite of advanced CT scan processing techniques designed to improve scan quality and reduce artifacts, particularly in challenging applications. These algorithms are applied to projection data before reconstruction. The Data Quality Toolkit is available under the Labs icon in Voyager.
Core Techniques Available
1. Beam Hardening Correction
Reduces beam hardening artifacts that cause cupping and streaking in reconstructed images.- Addresses material consistency and contrast issues in multi-material parts.
- Improves contrast, creates more uniform reconstructed values, and leads to more accurate wall thickness analysis (WTA) and porosity measurements.
2. Metal Artifact Reduction (MAR)
Reduces obscuring effects when metal components hide adjacent features in multi-material assemblies.- Examples: Soap dispenser pumps, screws in plastic assemblies, electronics, needles in injection-molded housings.
3. Axis of Rotation Correction
Addresses challenging doubling artifacts in scans.- Note: While the default method is effective, testing non-default methods can help in specific cases.
4. Cone Beam Reduction
Reduces streaking artifacts that appear at object tips and edges near the top and bottom scan limits.- These artifacts occur on surfaces parallel to the principal ray along the rotation axis.
5. Ring Removal
Eliminates artificial ring patterns that can be confused with real defects.- Removes unwanted circular artifacts when no physical ring was present in the scan.
6. Denoising
Reduces noise in high-speed CT scans by performing light blurring to average out noise while preserving real features.- Creates more uniform, clearer scans with better feature visibility.
7. Physics-Based Processing
Delivers targeted improvements to improve data based on material.- Addresses complex material interactions and improves overall scan quality.
- Works in combination with other techniques to provide comprehensive artifact reduction.
Key Value Propositions
Target Applications
- All customers can benefit, but high-throughput applications see the most improvement.
- Particularly valuable for challenging scans that need to maintain quality under adverse conditions.