Parametric LV Model Fitting to Coronary Arteries

Geimer T, Höhn J, Unberath M, Maier A (2017)


Publication Language: English

Publication Type: Conference contribution

Publication year: 2017

Publisher: IEEE

Pages Range: -

Conference Proceedings Title: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

Event location: Hyatt Regency, Atlanta, Georgia US

ISBN: 9781538622834

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Geimer17-PLM.pdf

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.

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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. -.

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