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Motion analysis in 4-D cardiac imaging with angiographic C-arm CT

Angiographic C-arm systems are the leading imaging devices for guidance of catheter-based interventional procedures. In addition to conventional fluoroscopy, 3-D images can be generated using rotational angiography.

In cardiology, 3-D representations are challenging due to the heart motion which necessitates high temporal resolutions. These cannot readily be achieved with a C-arm CT acquisition of a few seconds duration. However, multi-segment retrospective ECG-gating can be applied to reconstruct 3-D images of different cardiac phases. In a second step, the motion between these phases can be estimated using deformable image registration. The deformation fields found in this manner allow performing motion-compensated reconstructions from all projection data.

In this project, we want to physiologically analyze the estimated motion fields. Cardiac functional analysis in the catheterization lab is not well developed. Before the intervention, functional imaging can be performed using MRI or ultrasound. During the intervention, quantitative measurements are limited to determining the ejection fraction from a 2-D ventriculography. Based on the aforementioned approach, additional functional parameters - such as wall thickening, fractional shortening, phase of contraction or dyssynchrony index - shall be provided robustly in an interventional setting. The 3-D motion of the left ventricle shall be visualized and represented comprehensively in the 'cath lab.'

Project manager:
Prof. Dr.-Ing. Joachim Hornegger

Project participants:
Dr.-Ing. Oliver Taubmann, Dr. Günter Lauritsch, Prof. Dr.-Ing. habil. Andreas Maier, Dr.-Ing. Kerstin Müller

Keywords:
Motion analysis; 4-D cardiac imaging; C-arm CT

Duration: 1.2.2014 - 31.1.2018

Sponsored by:
Siemens AG, Healthcare Sector

Contact:
Taubmann, Oliver
Phone +49 9131 85 28982, Fax +49 9131 85 27270, E-Mail: oliver.taubmann@fau.de
Publications
Taubmann, Oliver ; Maier, Andreas ; Hornegger, Joachim ; Lauritsch, Günter ; Fahrig, Rebecca: Coping with Real World Data: Artifact Reduction and Denoising for Motion-Compensated Cardiac C-arm CT. In: Medical Physics 43 (2016), No. 2, pp 883-893
[doi>10.1118/1.4939878]
Taubmann, Oliver ; Lauritsch, Günter ; Maier, Andreas ; Fahrig, Rebecca ; Hornegger, Joachim: Keeping the Pace: Heart Rate Informed 3-D Motion Detection for Adaptive Temporal Smoothing. In: King, Michael ; Glick, Stephen ; Mueller, Klaus (Ed.) : Proceedings of the 13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine Newport, Rhode Island, USA 31.05.2015-04.06.2015). 2015, pp 532-535.
Taubmann, Oliver ; Wetzl, Jens ; Lauritsch, Günter ; Maier, Andreas ; Hornegger, Joachim: Sharp as a Tack: Measuring and Comparing Edge Sharpness in Motion-Compensated Medical Image Reconstruction. In: Handels, Heinz ; Deserno, Thomas ; Meinzer, Hans-Peter ; Tolxdorff, Thomas (Ed.) : Bildverarbeitung für die Medizin 2015 (Bildverarbeitung für die Medizin 2015 Lübeck 15.03-17.03). Berlin Heidelberg : Springer, 2015, pp 425-430.
[doi>10.1007/978-3-662-46224-9_73]
Taubmann, Oliver ; Lauritsch, Günter ; Maier, Andreas ; Fahrig, Rebecca ; Hornegger, Joachim: Estimate, Compensate, Iterate: Joint Motion Estimation and Compensation in 4-D Cardiac C-arm Computed Tomography. In: Navab, Nassir ; Hornegger, Joachim ; Wells, William M. ; Frangi, Alejandro F. (Ed.) : Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 Munich, Germany 05.10-09.10.2015). Berlin : Springer International Publishing, 2015, pp 579-586. (Lecture Notes in Computer Science, No. 9350) - ISBN 978-3-319-24571-3
[doi>10.1007/978-3-319-24571-3_69]
Taubmann, Oliver ; Lauritsch, Günter ; Krings, Gregor ; Maier, Andreas: Convex Temporal Regularizers in Cardiac C-arm CT. In: Kachelrieß, Marc (Ed.) : Proceedings of the 4th International Conference on Image Formation in X-ray Computed Tomography (4th International Conference on Image Formation in X-ray Computed Tomography Bamberg, Germany 18.07.-22.07.2016). 2016, pp 545-548.

Institution: Chair of Computer Science 5 (Pattern Recognition)
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