Abstract
Rotational coronary angiography allows for volumetric imaging but requires cardiac and respiratory motion management to achieve meaningful reconstructions. Novel respiratory motion compensation algorithms based on data consistency conditions are applied directly in projection domain and, therefore, overcome the need for uncompensated reconstructions. Earlier, we combined single-frame background subtraction and epipolar consistency conditions to compensate for respiratory motion. In this paper, we show that background subtraction also enables motion estimation via optimization of novel Fourier consistency conditions. The proposed method is evaluated in a numerical phantom study. Compared to the uncompensated case, we found a reduction in residual root-mean-square error of 89% when Fourier consistency conditions were used. The results are promising and encourage experiments on clinical data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
Unberath, M., Berger, M., Aichert, A., Maier, A. (2017). Fourier Consistency-Based Motion Estimation in Rotational Angiography. In: Maier-Hein, geb. Fritzsche, K., Deserno, geb. Lehmann, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2017. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54345-0_28
Download citation
DOI: https://doi.org/10.1007/978-3-662-54345-0_28
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-54344-3
Online ISBN: 978-3-662-54345-0
eBook Packages: Computer Science and Engineering (German Language)