Medical and industrial imaging have long influenced one another, from CT's migration into nondestructive testing to shared detector technologies. This talk explores that exchange through IMPET, a project developing AI-enhanced, quantum-informed multiphoton imaging for industrial applications such as opaque flow characterisation and 3D porous-media analysis. We present recent progress on...
Industrial computed tomography allows for non-destructive inspection of complex components,
making it an interesting domain of applications for machine learning methods.
In this context, a large bottleneck for training robust models is data acquisition.
Already time-intensive task of obtaining data using real-world CT scanners
is further exacerbated by the requirement of creating accurate...
