Additive Medical Polymer Dimensional Verification Using X-Ray Tomography
Micro-CT verification of additive medical polymers requires physical pre-filtering, local adaptive thresholding, and ISO 15530-3 uncertainty budgeting.
Metal Artifact Reduction
Meaning
Computational methods that decrease the streaking and shadow artifacts caused by dense metal parts in reconstructed computed tomography images improve visual clarity and measurement accuracy. In industrial scanning, metal artifact reduction helps restore the visibility of features located next to steel or titanium inserts. This processing is applied during or after the image reconstruction phase.
Artifact Origin
High-density metals absorb almost all low-energy x-ray photons, which leads to starvation of the sensor and severe beam hardening. The reconstructed image then displays dark bands and bright starburst patterns around the metal object. These artificial patterns obscure the true boundaries of surrounding lower-density materials like polymers or tissue.
Algorithmic Approach
Software algorithms replace the corrupted data in the projection domain with interpolated values before executing the final reconstruction. Advanced iterative algorithms model the physical properties of the metal to recalculate the missing projections. Running these computations requires substantial processing power.
Inspection Benefit
Implementing these digital filters allows quality control teams to scan multi-material assemblies in a single run and check internal tolerances. This capability avoids the need to disassemble products or use slower, destructive testing methods to verify internal dimensions. Deploying these methods before finalizing a production routine ensures that defects like gaps or material separation are identified early, which keeps the assembly line running smoothly and reduces scrap rates.