Mats Persson

Mats Persson is an Assistant Professor (Docent) at the Department of Physics, KTH Royal Institute of Technology, working within the Physics of Medical Imaging division. He holds dual roles as a Senior Lecturer and Assistant Professor, focusing on photon-counting spectral computed tomography (CT). His research emphasizes data processing, image reconstruction using deep neural networks, and the development of advanced medical imaging detectors. Persson completed his PhD in Physics at KTH (2016) and conducted postdoctoral research at Stanford University and General Electric Research Center in the U.S. before returning to KTH in 2020.

He leads projects developing 3D silicon detectors for nuclear medicine imaging and micron-resolution biomedical imaging. Persson teaches courses such as Machine Learning in Physics and supervises students in medical imaging physics. His work bridges theoretical physics and clinical applications, aiming to advance CT technology through novel algorithms and hardware innovations.

His research group collaborates on detector hardware improvements, spectral CT reconstruction techniques, and AI-driven solutions for noise reduction and artifact correction. Notable contributions include studies on photon-counting detector performance, basis material decomposition, and deep learning applications in medical imaging.