Zusammenfassung
We present preliminary evidence that left ventricular twist can be observed and thus estimated from rotational coronary angiography. Our method is based on an ellipsoidal parametric model initially developed for functional analysis of cardiac tagged MRI. First, we fit the model to 3D coronary artery centerlines reconstructed from rotational angiography and then use 3D/2D registration to optimize for the functional parameters driving the model. On two clinical acquisitions, we show that our method is able to recover cardiac motion indicated by an average reduction in reprojection error of 28.1±3.0%. Analysis of the functional progression of the functional parameters over time reveals radial and longitudinal contraction, and left ventricular twist. We believe that these results are exciting and encourage improvement of the proposed method in future work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
Çimen S, Gooya A, Grass M, et al. Reconstruction of coronary arteries from X-ray angiography: A review. Med Image Anal. 2016;32:46–68.
Unberath M, Taubmann O, Hell M, et al. Symmetry, outliers, and geodesics in coronary artery centerline reconstruction from rotational angiography. Med Phys. 2017.
Frangi AF, Niessen WJ, Viergever MA. Three-dimensional modeling for functional analysis of cardiac images, a review. IEEE Trans Med Imaging. 2001;20(1):2–5.
Unberath M, Mentl K, Taubmann O, et al. Torsional heart motion in cone-beam computed tomography reconstruction. In: Proc Fully3D; 2015. p. 651–654.
Gray H. Anatomy of the human body. vol. 8. Lea & Febiger; 1878.
Young AA, Hunter PJ, Smaill B. Epicardial surface estimation from coronary angiograms. Comput Vision Graph. 1989;47(1):111–127.
Chen CW, Huang TS, Arrott M. Modeling, analysis, and visualization of left ventricle shape and motion by hierarchical decomposition. IEEE Trans Pattern Anal Mach Intell. 1994;16(4):342–356.
Park J, Metaxas D, Young AA, et al.. Deformable models with parameter functions for cardiac motion analysis from tagged MRI data. IEEE; 1996.
Geimer T, Höhn J, Unberath M, et al. Parametric LV model fitting to coronary arteries. In: Proc IEEE NSS/MIC/RTSD; 2017.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
Geimer, T., Unberath, M., Höhn, J., Achenbach, S., Maier, A. (2018). Myocardial Twist from X-ray Angiography. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_91
Download citation
DOI: https://doi.org/10.1007/978-3-662-56537-7_91
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-56536-0
Online ISBN: 978-3-662-56537-7
eBook Packages: Computer Science and Engineering (German Language)