%0 Journal Article %1 hahn2017motion %A Hahn, B. N. %D 2017 %J Sensing and Imaging %K from:tobiasholicki %N 10 %P 1-20 %R 10.1007/s11220-017-0159-6 %T Motion Estimation and Compensation Strategies in Dynamic Computerized Tomography %U https://doi.org/10.1007/s11220-017-0159-6 %V 18 %X A main challenge in computerized tomography consists in imaging moving objects. Temporal changes during the measuring process lead to inconsistent data sets, and applying standard reconstruction techniques causes motion artefacts which can severely impose a reliable diagnostics. Therefore, novel reconstruction techniques are required which compensate for the dynamic behavior. This article builds on recent results from a microlocal analysis of the dynamic setting, which enable us to formulate efficient analytic motion compensation algorithms for contour extraction. Since these methods require information about the dynamic behavior, we further introduce a motion estimation approach which determines parameters of affine and certain non-affine deformations directly from measured motion-corrupted Radon-data. Our methods are illustrated with numerical examples for both types of motion.

@article{hahn2017motion, abstract = {A main challenge in computerized tomography consists in imaging moving objects. Temporal changes during the measuring process lead to inconsistent data sets, and applying standard reconstruction techniques causes motion artefacts which can severely impose a reliable diagnostics. Therefore, novel reconstruction techniques are required which compensate for the dynamic behavior. This article builds on recent results from a microlocal analysis of the dynamic setting, which enable us to formulate efficient analytic motion compensation algorithms for contour extraction. Since these methods require information about the dynamic behavior, we further introduce a motion estimation approach which determines parameters of affine and certain non-affine deformations directly from measured motion-corrupted Radon-data. Our methods are illustrated with numerical examples for both types of motion.}, added-at = {2021-07-22T09:50:26.000+0200}, author = {Hahn, B. N.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29cac625c2b4b2863534f3d0c57f96bd6/carolastahl}, doi = {10.1007/s11220-017-0159-6}, interhash = {5ecdf004fdffe11037d9beccfbdf208e}, intrahash = {9cac625c2b4b2863534f3d0c57f96bd6}, journal = {Sensing and Imaging}, keywords = {from:tobiasholicki}, number = 10, pages = {1-20}, timestamp = {2021-07-22T08:02:30.000+0200}, title = {Motion Estimation and Compensation Strategies in Dynamic Computerized Tomography}, url = {https://doi.org/10.1007/s11220-017-0159-6}, volume = 18, year = 2017 }