Respiratory Motion Estimation using a 3D Diaphragm Model

Bögel M, Riess C, Maier A, Hornegger J, Fahrig R (2014)

Publication Type: Conference contribution, Original article

Publication year: 2014

Publisher: Springer Verlag

Edited Volumes: Informatik aktuell

Series: Informatik aktuell

City/Town: Berlin Heidelberg

Pages Range: 240-245

Conference Proceedings Title: Bildverarbeitung in der Medizin 2014

Event location: Aachen DE

ISBN: 978-3-642-54110-0

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Boegel14-RME.pdf

DOI: 10.1007/978-3-642-54111-7

Abstract

Long acquisition times of several seconds lead to image artifacts in cardiac C-arm CT. These artifacts are mostly caused by respiratory motion. In order to improve image quality, it is important to accurately estimate the breathing motion that occurred during image acquisition. It has been shown that diaphragm motion is correlated to the respiration-induced motion of the heart. We present a method to estimate an accurate three-dimensional (3D) model of the diaphragm and its compression motion field from a set of C-arm CT projection images acquired during free breathing. First results on the digital XCAT phantom are promising. The method is able to estimate the motion field amplitude exactly. The boundaries of the estimated compression motion field are estimated within 3mm accuracy.

Authors with CRIS profile

Marco Bögel Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Christian Rieß Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Stanford University US United States (USA) (US)

How to cite

APA:

Bögel, M., Riess, C., Maier, A., Hornegger, J., & Fahrig, R. (2014). Respiratory Motion Estimation using a 3D Diaphragm Model. In Bildverarbeitung in der Medizin 2014 (pp. 240-245). Aachen, DE: Berlin Heidelberg: Springer Verlag.

MLA:

Bögel, Marco, et al. "Respiratory Motion Estimation using a 3D Diaphragm Model." Proceedings of the Workshop Bildverarbeitung in der Medizin 2014, Aachen Berlin Heidelberg: Springer Verlag, 2014. 240-245.

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