Conference contribution
(Original article)


Respiratory Motion Estimation using a 3D Diaphragm Model


Publication Details
Author(s): Bögel M, Riess C, Maier A, Hornegger J, Fahrig R
Title edited volumes: Informatik aktuell
Publisher: Springer Verlag
Publishing place: Berlin Heidelberg
Publication year: 2014
Title of series: Informatik aktuell
Conference Proceedings Title: Bildverarbeitung in der Medizin 2014
Pages range: 240-245
ISBN: 978-3-642-54110-0
ISSN: 1431-472X

Event details
Event: Workshop Bildverarbeitung in der Medizin 2014
Event location: Aachen
Start date of the event: 16/03/2014
End date of the event: 18/03/2014

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.



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: 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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