Parametric LV Model Fitting to Coronary Arteries

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Geimer T, Höhn J, Unberath M, Maier A
Verlag: IEEE
Jahr der Veröffentlichung: 2017
Tagungsband: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)
Seitenbereich: -
ISBN: 9781538622834
Sprache: Englisch


Abstract

X-ray angiography is the gold standard in assessing coronary artery diseases. With research focus shifting towards 3D+t
applications, heart models that allow for the extraction of functional parameters from the heart motion receive increasing attention.
We present an approach to fit a parametric left ventricular heart model originally developed for tagged MRI to the centerlines
of coronary arteries reconstructed from rotational coronary angiography. This 3D model fitting process must accommodate the
sparse point set conditional to the underlying angiography data. Using a coarse-to-fine optimization based on simulated annealing
and ellipsoid pseudo-distances, we achieve a reprojection error of 0.794 mm for the surface points compared to 0.422 mm of the
3D centerline ground truth. Results are promising and form the basis to extend the model to 3D+t in order to monitor radial and
longitudinal contraction as well as left ventricular twist over the cardiac cycle.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Geimer, Tobias
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Unberath, Mathias
Lehrstuhl für Informatik 5 (Mustererkennung)


Zusätzliche Organisationseinheit(en)
Erlangen Graduate School in Advanced Optical Technologies


Zitierweisen

APA:
Geimer, T., Höhn, J., Unberath, M., & Maier, A. (2017). Parametric LV Model Fitting to Coronary Arteries. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. -). Hyatt Regency, Atlanta, Georgia, US: IEEE.

MLA:
Geimer, Tobias, et al. "Parametric LV Model Fitting to Coronary Arteries." Proceedings of the 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Hyatt Regency, Atlanta, Georgia IEEE, 2017. -.

BibTeX: 

Zuletzt aktualisiert 2019-02-05 um 13:23