Doctoral Researcher Salla-Maaria Latva-Äijö will defend her doctoral dissertation Novel Algorithms for Material Decomposition and Classification in Spectral CT Imaging in the Faculty of Science, University of Helsinki, on 27 November 2025 at 13:00.
Inverse problems involve recovering unknown causes from measured data and are fundamental in many scientific and engineering applications. These problems are often ill-posed, meaning that the solution may be non-unique or unstable.
Doctoral Researcher Latva-Äijö’s thesis focuses on an inverse problem in X-ray computed tomography (CT), a widely used non-invasive imaging method in medical diagnostics and industry. The work aims to improve material decomposition in spectral CT, which exploits energy-dependent X-ray attenuation to distinguish different materials more accurately.
Research Professor Johanna Tamminen from the Finnish Meteorological Institute will serve as the opponent. Professor Matti Lassas will serve as the custos.
The dissertation is available in electronic form in the University of Helsinki’s open repository Helda.
Photo: University of Helsinki / Linda Tammisto
