Abstract
In C-arm CT 3D liver imaging, breathing leads to motion artifacts due to the relatively long acquisition time. Often, even with breath-holding residual respiratory motion can be observed. These artifacts manifest in blurring and interfere clinical investigations such as liver tissue imaging. For 3D medical image reconstruction a respiratory motion estimation and compensation is required. In this work, the motion was estimated by tracking the motion of the diaphragm and of a vessel bifurcation. The motion signals were integrated into a Thin-Plate-Spline that was used for intra-scan motion compensated reconstruction. This approach was applied to clinical C-arm CT data of the liver and showed improved image quality. Reduced artifacts allow a more precise visual depiction of the liver tissue for liver imaging.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Schäfer D, Lin M, Rao PP, et al. Breathing motion compensated reconstruction for c-arm cone beam CT imaging: initial experience based on animal data. Proc SPIE. 2012;8313:83131D–83131D–6.
B¨ogel M, Hofmann HG, Hornegger J, et al. Respiratory motion compensation using diaphragm tracking for cone-beam c-arm CT: a simulation and a phantom study. Int J Biomed Imaging. 2013;2013(1):1–10.
von Siebenthal M. Analysis and modelling of respiratory liver motion using 4DMRI. ETH Zurich; 2008.
Balter JM, Dawson LA, Kazanjian S, et al. Determination of ventilatory liver movement via radiogrphic evaluation of diaphragm position. Int J Radiat Oncol Bio Phys. 2001;51(1):267–70.
Schäfer D, Borgert J, Rasche V, et al. Motion-compensated and gated cone beam filtered back-projection for 3-D rotational x-ray angiography. IEEE Trans Med Imaging. 2006;25(7):898–906.
Maier A, Hofmann HG, Berger M, et al. CONRAD: a software framework for conebeam imaging in radiology. Med Phys. 2013;40(11):111914–1–8.
B¨ogel M, Riess C, Maier A, et al. Respiratory motion estimation using a 3D diaphragm model. Proc BVM. 2014; p. 240–5.
M¨uller K, Zheng Y, Lauritsch G, et al. Evaluation of interpolation methods for motion compensated tomographic reconstruction for cardiac angiographic C-arm data. Proc Second Int Conf Image Formation X-Ray Comput Tomogr. 2012; p. 5–8.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sindel, A., Bögel, M., Maier, A., Fahrig, R., Hornegger, J., Dörfler, A. (2015). Respiratory Motion Compensation for C-Arm CT Liver Imaging. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-662-46224-9_39
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-46223-2
Online ISBN: 978-3-662-46224-9
eBook Packages: Computer Science and Engineering (German Language)