Dr. Marcus Prümmer Profile

Dr. Marcus Prümmer

at Friedrich-Alexander-Univ Erlangen-Nürnberg

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Publications (6)

Proceedings Article | 17 March 2011 Paper

OpenCL: a viable solution for high-performance medical image reconstruction?

Christian Siegl, H. Hofmann, B. Keck, M. Prümmer, J. Hornegger

Proceedings Volume 7961, 79612Q (2011) https://doi.org/10.1117/12.878058

KEYWORDS: Visualization, Computer programming, Medical image reconstruction, Computer programming languages, Reconstruction algorithms, Computed tomography, Microelectromechanical systems, Field programmable gate arrays, Switches, Medical imaging

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Proceedings Article | 15 March 2011 Paper

Phase-unwrapping of differential phase-contrast data using attenuation information

Wilhelm Haas, M. Bech, P. Bartl, F. Bayer, A. Ritter, T. Weber, G. Pelzer, M. Willner, K. Achterhold, J. Durst, T. Michel, M. Prümmer, F. Pfeiffer, G. Anton, J. Hornegger

Proceedings Volume 7962, 79624R (2011) https://doi.org/10.1117/12.877945

KEYWORDS: Absorption, Phase shift keying, Phase interferometry, X-rays, Magnetic resonance imaging, Synthetic aperture radar, Interferometers, Interferometry, Sensors, Tomography

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Proceedings Article | 2 March 2011 Paper

4D motion animation of coronary arteries from rotational angiography

Wolfgang Holub, Christopher Rohkohl, Dominik Schuldhaus, Marcus Prümmer, Günter Lauritsch, Joachim Hornegger

Proceedings Volume 7964, 79641S (2011) https://doi.org/10.1117/12.877969

KEYWORDS: Heart, Reconstruction algorithms, Motion models, Motion estimation, Motion analysis, Image quality, 3D image processing, Motion measurement, 3D image reconstruction, Arteries

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Time-resolved 3-D imaging of the heart is a major research topic in the medical imaging community. Recent advances in the interventional cardiac 3-D imaging from rotational angiography (C-arm CT) are now also making 4-D imaging feasible during procedures in the catheter laboratory. State-of-the-art reconstruction algorithms try to estimate the cardiac motion and utilize the motion field to enhance the reconstruction of a stable cardiac phase (diastole). The available data offers a handful of opportunities during interventional procedures, e.g. the ECG-synchronized dynamic roadmapping or the computation and analysis of functional parameters. In this paper we will demonstrate that the motion vector field (MVF) that is output by motion compensated image reconstruction algorithms is in general not directly usable for animation and motion analysis. Dependent on the algorithm different defects are investigated. A primary issue is that the MVF needs to be inverted, i.e. the wrong direction of motion is provided. A second major issue is the non-periodicity of cardiac motion. In algorithms which compute a non-periodic motion field from a single rotation the in depth motion information along viewing direction is missing, since this cannot be measured in the projections. As a result, while the MVF improves reconstruction quality, it is insufficient for motion animation and analysis. We propose an algorithm to solve both problems, i.e. inversion and missing in-depth information in a unified framework. A periodic version of the MVF is approximated. The task is formulated as a linear optimization problem where a parametric smooth motion model based on B-splines is estimated from the MVF. It is shown that the problem can be solved using a sparse QR factorization within a clinical feasible time of less than one minute. In a phantom experiment using the publicly available CAVAREV platform, the average quality of a non-periodic animation could be increased by 39% by applying the proposed periodization and inversion method.

Proceedings Article | 18 March 2008 Paper

Cardiac C-arm CT: image-based gating

C. Rohkohl, M. Prümmer, R. Fahrig, G. Lauritsch, J. Hornegger

Proceedings Volume 6913, 69131G (2008) https://doi.org/10.1117/12.770124

KEYWORDS: Heart, Electrocardiography, Reconstruction algorithms, Distance measurement, Data acquisition, Phase measurement, Computed tomography, Image quality, In vivo imaging, 3D image processing

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Proceedings Article | 28 March 2007 Paper

Cardiac C-arm CT: 4D non-model based heart motion estimation and its application

M. Prümmer, R. Fahrig, L. Wigström, J. Boese, G. Lauritsch, N. Strobel, J. Hornegger

Proceedings Volume 6510, 651015 (2007) https://doi.org/10.1117/12.708151

KEYWORDS: Heart, Motion estimation, Signal to noise ratio, 3D image processing, Image registration, Temporal resolution, Electrocardiography, Motion measurement, 3D image reconstruction, Data acquisition

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Proceedings Article | 10 March 2006 Paper

Multi-modal 2D-3D non-rigid registration

M. Prümmer, J. Hornegger, M. Pfister, A. Dörfler

Proceedings Volume 6144, 61440X (2006) https://doi.org/10.1117/12.652321

KEYWORDS: Image registration, X-rays, X-ray imaging, Distance measurement, 3D image processing, Reconstruction algorithms, X-ray computed tomography, Projection systems, Fluoroscopy, 3D image reconstruction

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Showing 5 of 6 publications

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