Dr. Michael Scheuering Profile

Dr. Michael Scheuering

at Siemens Healthineers

SPIE Involvement:

Author

Publications (11)

Proceedings Article | 13 March 2009 Paper

Interactive vessel-tracking with a hybrid model-based and graph-based approach

Dominik Fritz, Thomas Beck, Michael Scheuering

Proceedings Volume 7261, 72612Z (2009) https://doi.org/10.1117/12.810979

KEYWORDS: Model-based design, Visualization, Arteries, Computer aided diagnosis and therapy, Principal component analysis, Quantitative analysis, Image visualization, Solid modeling, Medicine, Computed tomography

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Proceedings Article | 28 February 2009 Paper

Multi-scale feature extraction for learning-based classification of coronary artery stenosis

Matthias Tessmann, Fernando Vega-Higuera, Dominik Fritz, Michael Scheuering, Günther Greiner

Proceedings Volume 7260, 726002 (2009) https://doi.org/10.1117/12.811639

KEYWORDS: Feature extraction, Arteries, Computed tomography, Detection and tracking algorithms, Angiography, Databases, Image segmentation, Computer aided diagnosis and therapy, Diagnostics, Visualization

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Proceedings Article | 26 March 2008 Paper

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes

Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu

Proceedings Volume 6914, 691416 (2008) https://doi.org/10.1117/12.770710

KEYWORDS: Heart, 3D modeling, Image segmentation, Statistical modeling, Data modeling, Process modeling, Systems modeling, Computed tomography, Databases, 3D image processing

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Multi-chamber heart segmentation is a prerequisite for quantification of the cardiac function. In this paper, we propose an automatic heart chamber segmentation system. There are two closely related tasks to develop such a system: heart modeling and automatic model fitting to an unseen volume. The heart is a complicated non-rigid organ with four chambers and several major vessel trunks attached. A flexible and accurate model is necessary to capture the heart chamber shape at an appropriate level of details. In our four-chamber surface mesh model, the following two factors are considered and traded-off: 1) accuracy in anatomy and 2) easiness for both annotation and automatic detection. Important landmarks such as valves and cusp points on the interventricular septum are explicitly represented in our model. These landmarks can be detected reliably to guide the automatic model fitting process. We also propose two mechanisms, the rotation-axis based and parallel-slice based resampling methods, to establish mesh point correspondence, which is necessary to build a statistical shape model to enforce priori shape constraints in the model fitting procedure. Using this model, we develop an efficient and robust approach for automatic heart chamber segmentation in 3D computed tomography (CT) volumes. Our approach is based on recent advances in learning discriminative object models and we exploit a large database of annotated CT volumes. We formulate the segmentation as a two step learning problem: anatomical structure localization and boundary delineation. A novel algorithm, Marginal Space Learning (MSL), is introduced to solve the 9-dimensional similarity transformation search problem for localizing the heart chambers. After determining the pose of the heart chambers, we estimate the 3D shape through learning-based boundary delineation. Extensive experiments demonstrate the efficiency and robustness of the proposed approach, comparing favorably to the state-of-the-art. This is the first study reporting stable results on a large cardiac CT dataset with 323 volumes. In addition, we achieve a speed of less than eight seconds for automatic segmentation of all four chambers.

Proceedings Article | 12 March 2008 Paper

Fully automatic detection and visualization of patient specific coronary supply regions

Dominik Fritz, Alexander Wiedemann, Ruediger Dillmann, Michael Scheuering

Proceedings Volume 6916, 691602 (2008) https://doi.org/10.1117/12.769778

KEYWORDS: Visualization, Image segmentation, Hough transforms, Arteries, Heart, Spherical lenses, Visual process modeling, Binary data, Data modeling, 3D modeling

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Proceedings Article | 7 March 2007 Paper

Automatic 4D segmentation of the left ventricle in cardiac-CT-data

Dominik Fritz, Julia Kroll, Rüdiger Dillmann, Michael Scheuering

Proceedings Volume 6512, 65123N (2007) https://doi.org/10.1117/12.707626

KEYWORDS: Image segmentation, Motion models, Statistical modeling, Principal component analysis, Data modeling, Diagnostics, Shape analysis, Modeling, Blood, Motion analysis

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Proceedings Article | 10 March 2006 Paper

Segmentation of the left and right cardiac ventricle using a combined bi-temporal statistical model

Dominik Fritz, Daniel Rinck, Rüdiger Dillmann, Michael Scheuering

Proceedings Volume 6141, 614121 (2006) https://doi.org/10.1117/12.652991

KEYWORDS: Image segmentation, Principal component analysis, Independent component analysis, Statistical modeling, Statistical analysis, Data modeling, Heart, Shape analysis, 3D modeling, Visualization

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Proceedings Article | 10 March 2006 Paper

Anatomical-based segmentation with stenosis bridging and gap closing in atherosclerotic cardiac MSCT

Reto Merges, Daniel Rinck, Michael Sühling, Olaf Dössel, Michael Scheuering

Proceedings Volume 6144, 61440B (2006) https://doi.org/10.1117/12.653206

KEYWORDS: Image segmentation, Arteries, Wave propagation, Heart, Wavefronts, Image processing algorithms and systems, Bridges, Algorithm development, Computed tomography, Spherical lenses

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Proceedings Article | 10 March 2006 Paper

Shape-based segmentation and visualization techniques for evaluation of atherosclerotic plaques in coronary artery disease

Daniel Rinck, Sebastian Krüger, Anja Reimann, Michael Scheuering

Proceedings Volume 6141, 61410G (2006) https://doi.org/10.1117/12.653248

KEYWORDS: Arteries, Visualization, Tissues, Computed tomography, Image segmentation, Natural surfaces, Cardiovascular magnetic resonance imaging, Visual analytics, Quantitative analysis, 3D visualizations

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Proceedings Article | 29 April 2005 Paper

Automatic segmentation of the left ventricle and computation of diagnostic parameters using regiongrowing and a statistical model

Dominik Fritz, Daniel Rinck, Roland Unterhinninghofen, Ruediger Dillmann, Michael Scheuering

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595071

KEYWORDS: Image segmentation, Statistical modeling, Data modeling, Diagnostics, Visualization, Heart, Principal component analysis, Visual process modeling, 3D modeling, Mahalanobis distance

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Proceedings Article | 30 May 2003 Paper

Intraoperative augmented reality for minimally invasive liver interventions

Michael Scheuering, Andrea Schenk, Armin Schneider, Bernhard Preim, Guenther Greiner

Proceedings Volume 5029, (2003) https://doi.org/10.1117/12.480212

KEYWORDS: Liver, Visualization, Surgery, Tumors, Image segmentation, Navigation systems, Veins, Laparoscopy, Cameras, Volume rendering

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Proceedings Article | 17 May 2002 Paper

Augmented reality based on fast deformable 2D-3D registration for image-guided surgery

Michael Scheuering, Christof Rezk-Salama, Helmut Barfufl, Armin Schneider, Guenther Greiner

Proceedings Volume 4681, (2002) https://doi.org/10.1117/12.466948

KEYWORDS: Image registration, Video, Volume rendering, Liver, Tissues, Rigid registration, Head, Augmented reality, Cameras, Navigation systems

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Showing 5 of 11 publications

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