Limited Angle Tomography (LAT) is an X-ray imaging technique for generating a stack of cross-sectional images based on a limited number of two-dimensional projections. A low radiation dose and high in-plane resolution make LAT an attractive alternative to computed tomography. However, the incompleteness of the projection data results in image artifacts that may disable diagnostic interpretation. Our main research focus is the development and improvement of image reconstruction methods to reduce artifacts and increase the diagnostic value of LAT images.

Fields of interest are for example the optimization of the projection access order for the Simultaneous Algebraic Reconstruction Technique (SART) and the development of weighting schemes for iterative reconstruction algorithms. Further investigations focus on the developing of alternative acquisition geometries to improve the LAT image quality without an increase in radiation dose.

• Yulia Levakhina