Geimer T, Unberath M, Höhn J, Achenbach S, Maier A (2018)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2018
Publisher: Springer Berlin Heidelberg
City/Town: Berlin, Heidelberg
Pages Range: 365-370
Conference Proceedings Title: Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen
Event location: Erlangen, Bayern, Deutschland
ISBN: 978-3-662-56537-7
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Geimer18-MTF.pdf
DOI: 10.1007/978-3-662-56537-7
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.
APA:
Geimer, T., Unberath, M., Höhn, J., Achenbach, S., & Maier, A. (2018). Myocardial Twist from X-ray Angiography. In Maier A, Deserno Th, Handels H, Maier-Hein K H, Palm C, Tolxdorff Th (Eds.), Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen (pp. 365-370). Erlangen, Bayern, Deutschland: Berlin, Heidelberg: Springer Berlin Heidelberg.
MLA:
Geimer, Tobias, et al. "Myocardial Twist from X-ray Angiography." Proceedings of the Bildverarbeitung für die Medizin 2018, Erlangen, Bayern, Deutschland Ed. Maier A, Deserno Th, Handels H, Maier-Hein K H, Palm C, Tolxdorff Th, Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. 365-370.
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