[Analysis Case] Artifact Reduction in CT Images Using AI Technology
Reduce metal artifacts in CT images with AI technology to improve image analysis accuracy!
X-ray CT measurements allow for the non-destructive observation of the three-dimensional structure of samples. However, due to the nature of using X-ray beams, measurements of samples containing a large amount of metal may produce dark line-like artifacts known as metal artifacts, which can hinder the measurement of internal structures and image analysis. This document presents a case study on optimizing CT image reconstruction based on material information and physical models of the sample. This technology can reduce artifacts, enabling clearer evaluation of internal structures. Measurement method: X-ray CT, computational science, and data analysis Product fields: Electronic components, manufacturing equipment and parts, LSI and memory, daily goods Analysis objectives: Shape evaluation, structural evaluation 【Features】 ■ Clear observation of structures obscured by metal artifacts ■ Useful for CT observation of both resin and metal For more details, please download the document or contact us.
basic information
For more details, please download the materials or contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please download the materials or contact us.