Algorithms for dynamic tomography with limited dataMS7

Examples of tomographic imaging of moving objects: recovering the structure of blood vessels using injected contrast agent, and analysing penetration of fluid into porous media. There is often a need to keep the data collection as short as possible and to reduce the radiation dose. One can do this by taking fewer projection images and shortening exposures, leading to scarce-angle tomography with noisy data. Different approaches are compared: optical flow, shearlet sparsity, and Kalman filtering.

This presentation is part of Minisymposium “MS7 - Limited data problems in imaging (2 parts)
organized by: Bernadette Hahn (University of Würzburg) , Gaël Rigaud (Saarland University) , Jürgen Frikel (OTH Regensburg) .

Samuli Siltanen (University of Helsinki)
computed tomography, dynamic, image reconstruction, inverse problems, kalman filter, limited-data, nonlinear optimization, optical flow, shearlet, tomography, x-ray