Prof. Karl-Hans Englmeier Profile

Prof. Karl-Hans Englmeier

at Helmholtz Zentrum München GmbH

SPIE Involvement:

Author

Publications (21)

SPIE Journal Paper | 21 April 2014 Open Access

Video-rate optical flow corrected intraoperative functional fluorescence imaging

Maximilian Koch, Jürgen Glatz, Vladimir Ermolayev, Elisabeth de Vries, Gooitzen van Dam, Karl-Hans Englmeier, Vasilis Ntziachristos

JBO, Vol. 19, Issue 04, 046012, (April 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.4.046012

KEYWORDS: Fluorescence lifetime imaging, Tissues, Luminescence, Imaging systems, Collagen, Confocal microscopy, Tissue optics, Reflectivity, Image resolution, Signal detection

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Proceedings Article | 16 April 2012 Paper

Stepwise heterogeneity analysis of breast tumors in perfusion DCE-MRI datasets

Mojgan Mohajer, Volker Schmid, Nina Engels, Peter Noel, Ernst Rummeny, Karl-Hans Englmeier

Proceedings Volume 8317, 83171K (2012) https://doi.org/10.1117/12.910499

KEYWORDS: Tumors, Breast, Phase modulation, Magnetic resonance imaging, Distance measurement, Tissues, Medical imaging, Radiology, Diagnostics, Functional imaging

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SPIE Journal Paper | 1 April 2011 Open Access

Reconstruction of fluorescence distribution hidden in biological tissue using mesoscopic epifluorescence tomography

Saskia Bjorn, Karl-Hans Englmeier, Vasilis Ntziachristos, Ralf Schulz

JBO, Vol. 16, Issue 04, 046005, (April 2011) https://doi.org/10.1117/12.10.1117/1.3560631

KEYWORDS: Luminescence, Tomography, Tissue optics, Tissues, Skin, Imaging systems, Solids, Data acquisition, Scattering, Monte Carlo methods

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Proceedings Article | 18 February 2011 Paper

Tomographic optoacoustic inversion in dynamic illumination scenarios

Thomas Jetzfellner, Amir Rosenthal, Andreas Buehler, Alexander Dima, Karl Hans Englmeier, Vasilis Ntziachristos, Daniel Razansky

Proceedings Volume 7899, 78991Y (2011) https://doi.org/10.1117/12.876110

KEYWORDS: Model-based design, Absorption, Tomography, Reconstruction algorithms, Tissues, Sensors, Acoustics, Tissue optics, Transducers, Soft tissue optics

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SPIE Journal Paper | 1 May 2010 Open Access

Fast automatic segmentation of anatomical structures in x-ray computed tomography images to improve fluorescence molecular tomography reconstruction

Marcus Freyer, Angelique Ale, Ralf Schulz, Marta Zientkowska, Vasilis Ntziachristos, Karl-Hans Englmeier

JBO, Vol. 15, Issue 03, 036006, (May 2010) https://doi.org/10.1117/12.10.1117/1.3431101

KEYWORDS: Image segmentation, Lung, X-ray computed tomography, Heart, Bone, Data modeling, Tissues, Luminescence, Fluorescence tomography, Tomography

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Proceedings Article | 9 March 2010 Paper

A novel and fast method for cluster analysis of DCE-MR image series of breast tumors

Mojgan Mohajer, Gunnar Brix, Karl-Hans Englmeier

Proceedings Volume 7626, 76260R (2010) https://doi.org/10.1117/12.843967

KEYWORDS: Tumors, Image analysis, Image segmentation, Breast, Magnetic resonance imaging, Breast cancer, Medical imaging, Tissues, Vector spaces, Spatial resolution

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Proceedings Article | 14 March 2009 Paper

Iterative finite-element-based inversion for quantified detection of molecular targets using optoacoustic tomography

Thomas Jetzfellner, Daniel Razansky, Amir Rosenthal, Ralf Schulz, K.-H. Englmeier, Vasilis Ntziachristos

Proceedings Volume 7258, 725812 (2009) https://doi.org/10.1117/12.811014

KEYWORDS: Absorption, Image quality, Tissue optics, Scattering, Tomography, Reconstruction algorithms, Target detection, Tissues, Quality measurement, Light scattering

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Proceedings Article | 12 March 2008 Paper

Combined registration of 3D tibia and femur implant models in 3D magnetic resonance images

Karl-Hans Englmeier, Markus Siebert, Ruediger von Eisenhart-Rothe, Heiko Graichen

Proceedings Volume 6916, 691620 (2008) https://doi.org/10.1117/12.769439

KEYWORDS: Image registration, 3D modeling, 3D image processing, Magnetic resonance imaging, Kinematics, Data modeling, Data conversion, Magnetism, Medical imaging, Rigid registration

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Proceedings Article | 29 March 2007 Paper

Virtual hybrid bronchoscopy using PET/CT data sets

Karl-Hans Englmeier, Marcus Seemann

Proceedings Volume 6511, 65111O (2007) https://doi.org/10.1117/12.709130

KEYWORDS: Positron emission tomography, Computed tomography, Bronchoscopy, Lymphatic system, Tumors, Diagnostics, Image segmentation, Lung, Data acquisition, Lung cancer

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Proceedings Article | 19 December 2002 Paper

Knowledge discovery in bibliographic collections using concept hierarchies and visualization tools: application to the astronomy domain

Josiane Mothe, Daniel Egret, Claude Chrisment, Karl-Hans Englmeier, Taoufiq Dkaki, Soizick Lesteven

Proceedings Volume 4847, (2002) https://doi.org/10.1117/12.460579

KEYWORDS: Astronomy, Visualization, Advanced distributed simulations, Stars, Cadmium sulfide, Galactic astronomy, Knowledge discovery, Mining, Databases, Astrophysics

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Proceedings Article | 24 April 2002 Paper

Multiresolution retinal vessel tracker based on directional smoothing

Karl-Hans Englmeier, Simon Bichler, K. Schmid, M. Maurino, Massimo Porta, Toke Bek, B. Ege, Ole Larsen, Ok Hejlesen

Proceedings Volume 4683, (2002) https://doi.org/10.1117/12.463587

KEYWORDS: Image segmentation, Detection and tracking algorithms, Image resolution, Photography, Retina, Eye, Image processing, Image quality, Optical discs, Double sideband modulation

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To support ophthalmologists in their routine and enable the quantitative assessment of vascular changes in color fundus photographs a multi-resolution approach was developed which segments the vessel tree efficiently and precisely in digital images of the retina. The algorithm starts at seed points, found in a preprocessing step and then follows the vessel, iteratively adjusting the direction of the search, and finding the center line of the vessels. As an addition, vessel branches and crossings are detected and stored in detailed lists. Every iteration of the Directional Smoothing Based (DSB) tracking process starts at a given point in the middle of a vessel. First rectangular windows for several directions in a neighborhood of this point are smoothed in the assumed direction of the vessel. The window, that results in the best contrast is then said to have the true direction of the vessel. The center point is moved into that direction 1/8th of the vessel width, and the algorithm continues with the next iteration. The vessel branch and crossing detection uses a list with unique vessel segment IDs and branch point IDs. During the tracking, when another vessel is crossed, the tracking is stopped. The newly traced vessel segment is stored in the vessel segment list, and the vessel, that had been traced before is broken up at the crossing- or branch point, and is stored as two different vessel segments. This approach has several advantages: - With directional smoothing, noise is eliminated, while the edges of the vessels are kept. - DSB works on high resolution images (3000 x 2000 pixel) as well as on low-resolution images (900 x 600 pixel), because a large area of the vessel is used to find the vessel direction - For the detection of venous beading the vessel width is measured for every step of the traced vessel. - With the lists of branch- and crossing points, we get a network of connected vessel segments, that can be used for further processing the retinal vessel tree.

Proceedings Article | 24 April 2002 Paper

Dynamic MR mammography: multidimensional visualization of contrast enhancement in virtual reality

Gesine Hellwig, Karl-Hans Englmeier, Juergen Griebel, Robert Lucht, Stefan Delorme, Markus Siebert, Gunnar Brix

Proceedings Volume 4683, (2002) https://doi.org/10.1117/12.463612

KEYWORDS: Tissues, Magnetic resonance imaging, Breast, Visualization, Virtual reality, 3D modeling, Volume rendering, Volume visualization, Mammography, Spatial resolution

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Proceedings Article | 24 April 2002 Paper

System for three-dimensional biomechanical analysis of joints

Markus Siebert, Karl-Hans Englmeier, Ruediger von Eisenhart-Rothe, Christoph Bringmann, Felix Eckstein, H. Bonel, Maximilian Reiser, Heiko Graichen

Proceedings Volume 4683, (2002) https://doi.org/10.1117/12.463617

KEYWORDS: Cartilage, Image segmentation, Magnetic resonance imaging, 3D image processing, Biological research, 3D modeling, 3D acquisition, Image acquisition, Image processing algorithms and systems, Bone

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Proceedings Article | 21 May 2001 Paper

Gesture analysis and immersive visualization for virtual endoscopy

Karl-Hans Englmeier, Markus Siebert, Roland Bruening, Juergen Scheidler, Maximilian Reiser

Proceedings Volume 4321, (2001) https://doi.org/10.1117/12.428131

KEYWORDS: Visualization, Endoscopy, Virtual reality, Image segmentation, Inspection, Data modeling, Bronchoscopy, Visual analytics, 3D image processing, 3D modeling

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Proceedings Article | 26 June 1998 Paper

Virtual bronchoscopy based on spiral CT images

Karl-Hans Englmeier, Michael Haubner, Christian Krapichler, Dietrich Schuhmann, Mark Seemann, H. Fuerst, Maximilian Reiser

Proceedings Volume 3335, (1998) https://doi.org/10.1117/12.312518

KEYWORDS: Visualization, Bronchoscopy, Virtual reality, Navigation systems, Volume rendering, Image segmentation, Computed tomography, Natural surfaces, 3D modeling, Endoscopy

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Proceedings Article | 24 June 1998 Paper

Course tracking and contour extraction of retinal vessels from color fundus photographs: most efficient use of steerable filters for model-based image analysis

Bianca Kochner, Dietrich Schuhmann, Markus Michaelis, Gerd Mann, Karl-Hans Englmeier

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310955

KEYWORDS: Photography, Image segmentation, Optical filters, Gaussian filters, Image filtering, Image quality, Electronic filtering, Retina, Tin, Detection and tracking algorithms

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Proceedings Article | 24 June 1998 Paper

Automatic segmentation of the bronchial tract from spiral CT data for virtual reality representation

Dietrich Schuhmann, Mark Seemann, Michael Haubner, Christian Krapichler, Karl-Hans Englmeier

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310869

KEYWORDS: Image segmentation, Tissues, Virtual reality, Data modeling, Visualization, Lung, Computed tomography, Image filtering, Bronchoscopy, Edge detection

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Proceedings Article | 7 May 1997 Paper

Human-machine interface for a VR-based medical imaging environment

Christian Krapichler, Michael Haubner, Andreas Loesch, Manfred Lang, Karl-Hans Englmeier

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273932

KEYWORDS: Eye, Virtual reality, Visualization, Human-machine interfaces, 3D image processing, Medical imaging, Image segmentation, Computed tomography, Head-mounted displays, Magnetic resonance imaging

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Proceedings Article | 24 May 1995 Paper

Blood flow estimation in gastroscopic true-color images

Raffael Jacoby, Rainer Herpers, Franz Zwiebel, Karl-Hans Englmeier

Proceedings Volume 2433, (1995) https://doi.org/10.1117/12.209680

KEYWORDS: Blood circulation, Endoscopy, Image segmentation, Blood, Reflectance spectroscopy, Cameras, Light scattering, Hydrogen, Neural networks, Scattering

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Proceedings Article | 12 May 1995 Paper

Three-dimensional surface reconstruction of the papilla nervi optici using scanning laser ophthalmoscopic sequences

Markus Altmann, Rainer Herpers, Isabel Kuenzer, Karl-Hans Englmeier

Proceedings Volume 2434, (1995) https://doi.org/10.1117/12.208705

KEYWORDS: Scanning laser ophthalmoscopy, Tolerancing, Confocal microscopy, Eye, Nonlinear filtering, Laser optics, Image filtering, Scanning laser ophthalmoscopes, Algorithm development, Digital filtering

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Proceedings Article | 1 May 1994 Paper

Method for combining fast surface and exact volume visualization techniques in medicine

Karl-Hans Englmeier, Michael Haubner, H. Foerterer, W. Perzl, B. Fink, U. Fink

Proceedings Volume 2164, (1994) https://doi.org/10.1117/12.174012

KEYWORDS: Image segmentation, Visualization, 3D image processing, Volume rendering, Algorithm development, Image processing, Kidney, Volume visualization, Image processing algorithms and systems, Transparency

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Showing 5 of 21 publications

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