Dr. Guenter Lauritsch Profile

Dr. Guenter Lauritsch

Principal Key Expert at Siemens Healthcare GmbH

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Author

Publications (17)

Proceedings Article | 18 October 2022 Open Access

Iterative intraoperative digital tomosynthesis image reconstruction using a prior as initial image

Fatima Saad, Robert Frysch, Tim Pfeiffer, Sylvia Saalfeld, Jessica Schulz, Jens-Christoph Georgi, Andreas Nürnberger, Guenter Lauritsch, Georg Rose

Proceedings Volume 12304, 123042Y (2022) https://doi.org/10.1117/12.2646597

KEYWORDS: Computed tomography, X-ray computed tomography, Image registration, CT reconstruction, Medical image reconstruction, 3D image reconstruction

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Proceedings Article | 16 March 2020 Paper

C-arm CT imaging using the extended line-ellipse-line trajectory: seamless FBP reconstruction from real data

Zijia Guo, Günter Lauritsch, Andreas Maier, Frédéric Noo

Proceedings Volume 11312, 1131203 (2020) https://doi.org/10.1117/12.2549999

KEYWORDS: Data acquisition, Computed tomography, Head, Reconstruction algorithms, Image quality, Medicine, Image-guided intervention, Image restoration, Robotics

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Proceedings Article | 28 May 2019 Paper

Theoretically-exact filtered-backprojection reconstruction from real data on the line-ellipse-line trajectory

Zijia Guo, Günter Lauritsch, Andreas Maier, Frédéric Noo

Proceedings Volume 11072, 110720T (2019) https://doi.org/10.1117/12.2533655

KEYWORDS: Head, Reconstruction algorithms, Data acquisition, Computed tomography, Computer simulations, Sensors, Medicine, Image quality, Image resolution, Image filtering

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Proceedings Article | 31 March 2016 Paper

Properties of the ellipse-line-ellipse trajectory with asymmetrical variations

Zijia Guo, Frédéric Noo, Andreas Maier, Guenter Lauritsch

Proceedings Volume 9783, 97832Z (2016) https://doi.org/10.1117/12.2217187

KEYWORDS: Data acquisition, Imaging systems, Image quality, Computed tomography, 3D acquisition, 3D image processing, Image-guided intervention, Image segmentation, Cones, Image restoration, Medicine, Reconstruction algorithms

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Proceedings Article | 3 March 2012 Paper

Ellipse-line-ellipse source trajectory and its R-line coverage for long-object cone-beam imaging with a C-arm system

Z. Yu, F. Noo, G. Lauritsch, F. Dennerlein, J. Hornegger

Proceedings Volume 8313, 83133E (2012) https://doi.org/10.1117/12.911768

KEYWORDS: Imaging systems, Data acquisition, Electroluminescence, Silver, Medicine, Medical imaging, Numerical simulations, Computing systems, Radiology, Computer science

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Proceedings Article | 14 February 2012 Paper

Robust lumen segmentation of coronary arteries in 2D angiographic images

Maria Polyanskaya, Chris Schwemmer, Andre Linarth, Guenter Lauritsch, Joachim Hornegger

Proceedings Volume 8314, 83142N (2012) https://doi.org/10.1117/12.911130

KEYWORDS: Image segmentation, Angiography, Arteries, Image filtering, Image processing algorithms and systems, Reconstruction algorithms, Medical imaging, Binary data, 3D image processing, Silver

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Proceedings Article | 2 March 2011 Paper

3D imaging of myocardial perfusion and coronary tree morphology from a single rotational angiogram

Günter Lauritsch, Christopher Rohkohl, Joachim Hornegger, Anil-Martin Sinha, Johannes Brachmann, Johannes Rieber, Harald Rittger

Proceedings Volume 7964, 79641Q (2011) https://doi.org/10.1117/12.877931

KEYWORDS: X-rays, Angiography, Arteries, Electrocardiography, Reconstruction algorithms, Tissues, 3D image processing, Stereoscopy, Motion estimation, X-ray imaging

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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 | 28 February 2009 Paper

Visualization and enhancement patterns of radiofrequency ablation lesions with iodine contrast-enhanced cardiac C-arm CT

Erin Girard-Hughes, Amin Al-Ahmad, Teri Moore, Günter Lauritsch, Jan Boese, Rebecca Fahrig

Proceedings Volume 7262, 72621N (2009) https://doi.org/10.1117/12.812947

KEYWORDS: Computed tomography, Visualization, Tissues, Iodine, Radiofrequency ablation, Image acquisition, Medicine, Magnetic resonance imaging, 3D image processing, Arteries

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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 | 29 April 2005 Paper

Exact and efficient cone-beam reconstruction algorithm for a short-scan circle combined with various lines

Frank Dennerlein, Alexander Katsevich, Guenter Lauritsch, Joachim Hornegger

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595186

KEYWORDS: Sensors, Reconstruction algorithms, Image quality, Matrices, Head, Imaging systems, Data acquisition, Tomography, Image segmentation, Calibration

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Proceedings Article | 12 May 2004 Paper

Exact consideration of data redundancies for spiral cone-beam CT

Guenter Lauritsch, Alexander Katsevich, Michael Hirsch

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535249

KEYWORDS: Sensors, Reconstruction algorithms, Radon, Spatial resolution, Computed tomography, Detection and tracking algorithms, Image filtering, Image quality, Modulation transfer functions, Algorithm development

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Proceedings Article | 15 May 2003 Paper

Evaluation and empirical analysis of an exact FBP algorithm for spiral cone-beam CT

Alexander Katsevich, Guenter Lauritsch, Herbert Bruder, Thomas Flohr, Karl Stierstorfer

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481348

KEYWORDS: Reconstruction algorithms, Detection and tracking algorithms, Image quality, Sensors, Spatial resolution, Image filtering, 3D image processing, Algorithms, Computed tomography, Radon

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Proceedings Article | 6 June 2000 Paper

Exact local regions-of-interest reconstruction in spiral cone-beam filtered-backprojection CT: numerical implementation and first image results

Guenter Lauritsch, Kwok Tam, Katia Sourbelle, Stefan Schaller

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387713

KEYWORDS: Sensors, Image segmentation, Transform theory, Point spread functions, Image sensors, Detection and tracking algorithms, Reconstruction algorithms, Image filtering, Fuzzy logic, Convolution

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Proceedings Article | 21 May 1999 Paper

Back-projection spiral scan region-of-interest cone beam CT

Kwok Tam, B. Ladendorf, Frank Sauer, Guenter Lauritsch, Andreas Steinmetz

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348598

KEYWORDS: Reconstruction algorithms, Sensors, Detection and tracking algorithms, Radon, Algorithm development, Computer simulations, Image restoration, Computed tomography, Image segmentation, Optical spheres

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Proceedings Article | 24 June 1998 Paper

Theoretical framework for filtered back projection in tomosynthesis

Guenter Lauritsch, Wolfgang Haerer

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310839

KEYWORDS: Spatial frequencies, Image quality, Image filtering, Modulation transfer functions, Optical filters, Spatial resolution, Computed tomography, Fourier transforms, Image transmission, Point spread functions

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Showing 5 of 17 publications

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