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