IMTS 2024 Conference: Breaking the Tradeoff: Utilizing Deep Learning AI with X-ray Computed Tomography for Unparalleled Clarity and Speed

Thursday September 12 10:00 AM CST
IMTS56 Room W193-B

Learn about the presentation
Traditionally, CT users have been made to choose between faster but lower-quality; or slower but higher-quality CT scans. Important details may be missed in the tradeoff for increased throughput.

In this presentation you'll learn how AI Reconstruction breaks this compromise by using Deep Learning to filter noise and improve clarity. Trained to distinguish relevant information from scan artifacts, users benefit from automated enhancement tailored to their specific needs, allowing users to discover subtle flaws which may have previously been invisible to standard CT, while simultaneously boosting the speed of routine inspection.

AI Reconstruction is ideal for both laboratory and production environments demanding pinpoint defect detection and high throughput.

Meet your presenter
Coming from a physics background, Chris Price joined Nikon’s X-ray team in 2016 as an applications engineer where he demonstrated solutions, trained customers and provided technical support.

As part of the Global Product Management team, he manages the development of new features, solutions and products in Nikon’s range of X-ray CT solutions.

Chris' key focus is on utilizing Artificial Intelligence (AI) for reliable high-speed X-ray CT inspection and analysis.