Contact person
Niklas Lorén
Projektledare
Contact Niklas
AI-Tomo: Faster material analysis with AI and X-ray tomography
To develop sustainable products and processes, we need a deep understanding of the internal structure of materials. With advanced synchrotron- and lab-based X-ray tomography, we can examine materials in 3D down to the microscopic level—without destroying them. This also makes it possible to study how materials change under different conditions.
X-ray tomography generates enormous amounts of data, and to make full use of this information, smart data management is essential. This is where AI comes in. By using AI—particularly methods such as Convolutional Neural Networks (CNNs) and score-based generative models (SGMs)—we can quickly and accurately identify key features in the images, a process known as segmentation.
New AI Algorithms
The project is developing and adapting new AI algorithms to enhance 3D and 4D image analysis, including real-time segmentation. A key focus is on reducing noise and artifacts in the images to produce as clear and reliable information as possible.
A stronger foundation for industry
These algorithms will support the participating companies in their material development. In doing so, the project also lays a stronger foundation for the broader industry to leverage X-ray tomography in the development of tomorrow’s sustainable materials.
The project is a collaboration between Billerud, Lund University, Tetra Pak, and RISE, and is funded by VINNOVA as part of the Advanced Digitalization program.
Summary
Project name
AI-Tomo: Faster material analysis
Status
Active
RISE role in project
Coordinator, project leader and research provider
Project start
Duration
Three years
Total budget
14500000 SEK
Partner
Billerud, Tetra Pak, Lund University, Billerud, Tetra Pak Packaging Solutions, Lund University
Funders
Vinnova avancerad och innovativ digitalisering
Coordinators
Project members
Torsten Sjögren Tuerdi Maimaitiyili Torben Nilsson Pingel Martin Simonsson Aleksis Pirinen
Supports the UN sustainability goals
3. Good health and well-being
9. Industry, innovation and infrastructure
