We develop methods for reconstructing hidden structures from indirect and noisy measurement data. A key asset is our research laboratory, which includes a custom-built cone-beam CT scanner, a photon-counting detector, and capabilities for multi-energy imaging, enabling close integration of theory and experiment. Applications are in medical imaging, non-destructive testing, and X-ray based analysis.
X-ray computed tomography (CT) is widely used in medical imaging and materials science. In this imaging modality, cross-sectional images of a physical object are formed by taking numerous X-ray projections from different angles and then applying a reconstruction algorithm to the measured data. The cross-sectional slices can be used to form a three-dimensional model of the interior structure of the object.
The scanner consists of a molybdenum target X-ray tube, a sample manipulator, and a flat panel detector, and it is built inside a radiation shielding cabinet. This system is well suited for CT and the study of reconstruction algorithms.
Our research group has a strong international collaboration network and we actively partner with industry to develop tailored imaging solutions and next-generation technologies. A central theme is the development of mathematically grounded reconstruction algorithms for challenging measurement settings, such as sparse or low-dose data. We are always open for collaborations!