Prof. Heinz Handels Profile

Prof. Heinz Handels

Institute Director at University of Lübeck

SPIE Involvement:

Author

Publications (52)

Proceedings Article | 3 April 2024 Poster + Paper

Focused unsupervised image registration for structure-specific population analysis

Jan Ehrhardt, Hristina Uzunova, Paul Kaftan, Julia Krüger, Roland Opfer, Heinz Handels

Proceedings Volume 12927, 129272F (2024) https://doi.org/10.1117/12.3006119

KEYWORDS: Image registration, Image segmentation, Deformation, Image resolution, Image processing, Neuroimaging, Brain, Alzheimer disease

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Proceedings Article | 3 April 2024 Presentation + Paper

Comparison of anatomical priors for learning-based neural network guidance for mediastinal lymph node segmentation

Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer, Stefanie Schierholz, Lennart Berkel, Yannic Elser, Malte Maria Sieren, Heinz Handels

Proceedings Volume 12927, 129271K (2024) https://doi.org/10.1117/12.3006158

KEYWORDS: Lymph nodes, Education and training, Anatomy, Image segmentation, Computed tomography, Neural networks, Image registration, Tumor growth modeling, Tumors, Lung

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Proceedings Article | 3 April 2024 Presentation + Paper

Reducing the impact of domain shift in deep learning for OCT segmentation using image manipulations

Marc Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels

Proceedings Volume 12927, 1292719 (2024) https://doi.org/10.1117/12.3008702

KEYWORDS: Image segmentation, Optical coherence tomography, Image quality, Eye, Distance measurement, Data modeling, Retina, Neural networks, Deep learning

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Proceedings Article | 2 April 2024 Poster + Paper

Denoising of home OCT images using Noise2Noise trained on artificial eye data

Marc Rowedder, Timo Kepp, Tobias Neumann, Helge Sudkamp, Gereon Hüttmann, Heinz Handels

Proceedings Volume 12926, 129262D (2024) https://doi.org/10.1117/12.3006428

KEYWORDS: Denoising, Optical coherence tomography, Eye, Image processing, Retina, Signal to noise ratio, Image quality, Image segmentation, Image registration, Medical image reconstruction, Deep learning, Convolutional neural networks, Image enhancement, Medical imaging

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Proceedings Article | 11 August 2023 Paper

Demarcation of brain and tumor tissue with optical coherence tomography using prior neural networks

Paul Strenge, Birgit Lange, Wolfgang Draxinger, Christian Hagel, Christin Grill, Veit Danicke, Dirk Theisen-Kunde, Sonja Spahr-Hess, Matteo Bonsanto, Robert Huber, Heinz Handels, Ralf Brinkmann

Proceedings Volume 12632, 126321P (2023) https://doi.org/10.1117/12.2670907

KEYWORDS: Brain, Tumors, Optical coherence tomography, Brain tissue, White matter, Tissues, Image segmentation, Neural networks

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Proceedings Article | 7 April 2023 Presentation + Paper

Overcoming the sensor delta for semantic segmentation in OCT images

Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg Schäfer, Heinz Handels

Proceedings Volume 12465, 1246511 (2023) https://doi.org/10.1117/12.2654187

KEYWORDS: Education and training, Image segmentation, Sensors, Optical coherence tomography, Semantics, Scanners, Data modeling, Matrices, Image sensors, Pigments

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Proceedings Article | 7 April 2023 Presentation + Paper

Shape-based segmentation of retinal layers and fluids in OCT image data

Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels

Proceedings Volume 12465, 1246510 (2023) https://doi.org/10.1117/12.2654210

KEYWORDS: Image segmentation, Optical coherence tomography, Retina, Retinal diseases

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Proceedings Article | 17 March 2023 Presentation

Assessment of intrinsic and extrinsic aging on dermal morphology using optical coherence tomography

Vidyalakshmi Anilkumar, Felix Hilge, Timo Kepp, Michael Wang-Evers, Spencer Brush, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Heinz Handels, Dieter Manstein

Proceedings Volume PC12352, PC123520D (2023) https://doi.org/10.1117/12.2650110

KEYWORDS: Optical coherence tomography, Skin, Shape analysis, Machine learning

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Proceedings Article | 6 March 2023 Presentation + Paper

Dual wavelength analysis and classification of brain tumor tissue with optical coherence tomography

Paul Strenge, Birgit Lange, Wolfgang Draxinger, Christian Hagel, Christin Grill, Veit Danicke, Dirk Theisen-Kunde, Sonja Spahr-Hess, Matteo Bonsanto, Robert Huber, Heinz Handels, Ralf Brinkmann

Proceedings Volume 12368, 1236805 (2023) https://doi.org/10.1117/12.2649963

KEYWORDS: Tumors, Optical coherence tomography, Brain tissue, White matter, Education and training, Surgery, Brain, Tissues, Neural networks, Signal attenuation

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Proceedings Article | 4 April 2022 Presentation + Paper

Synthesis of annotated pathological retinal OCT data with pathology-induced deformations

Hristina Uzunova, Leonie Basso, Jan Ehrhardt, Heinz Handels

Proceedings Volume 12033, 120333K (2022) https://doi.org/10.1117/12.2611126

KEYWORDS: Image segmentation, Optical coherence tomography, Pathology, Neural networks, Data modeling, Medical imaging, Image processing, Visualization, Tumors

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Proceedings Article | 9 December 2021 Paper

Comparison of two optical coherence tomography systems to identify human brain tumor

P. Strenge, B. Lange, C. Grill, W. Draxinger, V. Danicke, D. Theisen-Kunde, H. Handels, M. Bonsanto, C. Hagel, R. Huber, R. Brinkmann

Proceedings Volume 11924, 119240L (2021) https://doi.org/10.1117/12.2616044

KEYWORDS: Tumors, Optical coherence tomography, Tissues, Brain, Tissue optics, Signal attenuation, System identification, Optical fibers, Scattering, Optical properties

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples

P. Strenge, B. Lange, C. Grill, W. Draxinger, V. Danicke, D. Theisen-Kunde, H. Handels, C. Hagel, M. Bonsanto, R. Huber, R. Brinkmann

Proceedings Volume 11630, 116301S (2021) https://doi.org/10.1117/12.2578391

KEYWORDS: Optical coherence tomography, Brain, Tissues, Tumors, Surgery, Image registration, Image classification

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Characterization of brain tumor tissue with 1310 nm optical coherence tomography

P. Strenge, B. Lange, C. Grill, W. Draxinger, V. Danicke, D. Theisen-Kunde, H. Handels, M. Bonsanto, C. Hagel, R. Huber, R. Brinkmann

Proceedings Volume 11630, 116301T (2021) https://doi.org/10.1117/12.2578409

KEYWORDS: Tumors, Brain, Optical coherence tomography, Tissue optics, Tissues, Signal attenuation, Pathology, Optical properties

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Proceedings Article | 16 March 2020 Presentation + Paper

Segmentation of retinal low-cost optical coherence tomography images using deep learning

Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias Heinrich, Heinz Handels

Proceedings Volume 11314, 113141O (2020) https://doi.org/10.1117/12.2551324

KEYWORDS: Image segmentation, Optical coherence tomography, Retina, Computer programming, Signal to noise ratio, Convolution, Denoising, Eye, Imaging systems, Image quality

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Proceedings Article | 15 March 2019 Paper

Bayesian inference for uncertainty quantification in point-based deformable image registration

Sandra Schultz, Julia Krüger, Heinz Handels, Jan Ehrhardt

Proceedings Volume 10949, 109491S (2019) https://doi.org/10.1117/12.2512988

KEYWORDS: Image registration, Medical imaging, Data modeling, Pathology, Bayesian inference, Neuroimaging, Brain, Image processing, Magnetic resonance imaging, Image fusion

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Proceedings Article | 15 March 2019 Presentation + Paper

Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders

Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels

Proceedings Volume 10949, 1094911 (2019) https://doi.org/10.1117/12.2511964

KEYWORDS: Pathology, Medical imaging, Image segmentation, Optical coherence tomography, Neural networks, Brain, Magnetic resonance imaging, Image classification

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Proceedings Article | 15 March 2019 Paper

A probabilistic approach for the registration of images with missing correspondences

Julia Krüger, Jan Ehrhardt, Sandra Schultz, Heinz Handels

Proceedings Volume 10949, 1094925 (2019) https://doi.org/10.1117/12.2511121

KEYWORDS: Image registration, Pathology, Expectation maximization algorithms, 3D image processing, Image segmentation, Medical imaging, Brain, Statistical modeling

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Proceedings Article | 2 March 2018 Presentation + Paper

Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures

Andre Mastmeyer, Matthias Wilms, Heinz Handels

Proceedings Volume 10574, 1057417 (2018) https://doi.org/10.1117/12.2293092

KEYWORDS: Motion models, Acquisition tracking and pointing, 3D modeling, Data modeling, Liver, Virtual reality, Lung, Image registration, Spirometry, Data acquisition

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Proceedings Article | 2 March 2018 Paper

Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data

Eike Mücke, Heinz Handels, René Werner

Proceedings Volume 10574, 105740Q (2018) https://doi.org/10.1117/12.2293068

KEYWORDS: Image registration, 4D CT imaging, Image analysis, Motion estimation, Motion detection, Radiotherapy

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Proceedings Article | 2 March 2018 Paper

Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests

Timo Kepp, Christine Droigk, Malte Casper, Michael Evers, Nunciada Salma, Dieter Manstein, Heinz Handels

Proceedings Volume 10574, 1057426 (2018) https://doi.org/10.1117/12.2290085

KEYWORDS: Image segmentation, Optical coherence tomography, Skin, 3D image processing, Medical imaging, Image processing algorithms and systems, Feature extraction

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Proceedings Article | 2 March 2018 Presentation + Paper

A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration

Sandra Schultz, Heinz Handels, Jan Ehrhardt

Proceedings Volume 10574, 105740O (2018) https://doi.org/10.1117/12.2293588

KEYWORDS: Image registration, Brain, Monte Carlo methods, Statistical analysis, Pathology

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Proceedings Article | 21 March 2016 Paper

Multi-level approach for statistical appearance models with probabilistic correspondences

Julia Krüger, Jan Ehrhardt, Heinz Handels

Proceedings Volume 9784, 978433 (2016) https://doi.org/10.1117/12.2214885

KEYWORDS: Analog electronics, Statistical modeling, Model-based design, Process modeling, Data modeling, Shape analysis, Image analysis, Probability theory, Optimization (mathematics), Image segmentation, Visualization, Mathematical modeling, Krypton, Medical imaging

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Proceedings Article | 21 March 2016 Paper

Random forest classification of large volume structures for visuo-haptic rendering in CT images

Andre Mastmeyer, Dirk Fortmeier, Heinz Handels

Proceedings Volume 9784, 97842H (2016) https://doi.org/10.1117/12.2216845

KEYWORDS: Liver, Skin, Tissues, Bone, Image segmentation, Blood vessels, Volume rendering, Computed tomography, Lung, Image classification

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Proceedings Article | 20 March 2015 Paper

Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods

Matthias Wilms, Julia Krüger, Mirko Marx, Jan Ehrhardt, Arpad Bischof, Heinz Handels

Proceedings Volume 9414, 94142B (2015) https://doi.org/10.1117/12.2081862

KEYWORDS: Breast, Mammography, Nipple, Chest, 3D modeling, Image compression, Data modeling, Breast cancer, Computer aided diagnosis and therapy, Tissues

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Proceedings Article | 24 March 2014 Paper

Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers

Oskar Maier, Matthias Wilms, Janina von der Gablentz, Ulrike Krämer, Heinz Handels

Proceedings Volume 9035, 903504 (2014) https://doi.org/10.1117/12.2043494

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Ischemic stroke, Tissues, Feature extraction, Binary data, Neuroimaging, Feature selection, Databases

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Proceedings Article | 21 March 2014 Paper

Joint multi-object registration and segmentation of left and right cardiac ventricles in 4D cine MRI

Jan Ehrhardt, Timo Kepp, Alexander Schmidt-Richberg, Heinz Handels

Proceedings Volume 9034, 90340M (2014) https://doi.org/10.1117/12.2043583

KEYWORDS: Image segmentation, Image registration, Magnetic resonance imaging, Heart, Blood, 3D image processing, 3D modeling, Image processing algorithms and systems, Image processing, Distance measurement

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Proceedings Article | 21 March 2014 Paper

Statistical shape and appearance models without one-to-one correspondences

Jan Ehrhardt, Julia Krüger, Heinz Handels

Proceedings Volume 9034, 90340U (2014) https://doi.org/10.1117/12.2043531

KEYWORDS: Image segmentation, Data modeling, Statistical modeling, Process modeling, Lung, Visual process modeling, Shape analysis, Image registration, Expectation maximization algorithms, Optimization (mathematics)

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Proceedings Article | 12 March 2014 Paper

Statistical analysis of surrogate signals to incorporate respiratory motion variability into radiotherapy treatment planning

Matthias Wilms, Jan Ehrhardt, René Werner, Mirko Marx, Heinz Handels

Proceedings Volume 9036, 90360J (2014) https://doi.org/10.1117/12.2043568

KEYWORDS: Statistical analysis, Motion models, Tumors, Monte Carlo methods, 4D CT imaging, Data modeling, Statistical modeling, Radiotherapy, Spirometry, Motion measurement

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Proceedings Article | 13 March 2013 Paper

Surrogate-based diffeomorphic motion estimation for radiation therapy: comparison of multivariate regression approaches

Matthias Wilms, René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Maximilian Blendowski, Heinz Handels

Proceedings Volume 8669, 866915 (2013) https://doi.org/10.1117/12.2002428

KEYWORDS: Motion estimation, Principal component analysis, Radiotherapy, Tumors, Lung, Motion models, Motion measurement, 4D CT imaging, Chest, Simulation of CCA and DLA aggregates

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Proceedings Article | 13 March 2013 Paper

Assessing accuracy of non-linear registration in 4D image data using automatically detected landmark correspondences

René Werner, Christine Duscha, Alexander Schmidt-Richberg, Jan Ehrhardt, Heinz Handels

Proceedings Volume 8669, 86690Z (2013) https://doi.org/10.1117/12.2002454

KEYWORDS: Image registration, Lung, Liver, Computed tomography, Infrared imaging, 3D image processing, Distance measurement, Information technology, Image restoration, Data centers

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Proceedings Article | 13 March 2013 Paper

Breast compression simulation using ICP-based B-spline deformation for correspondence analysis in mammography and MRI datasets

Julia Krüger, Jan Ehrhardt, Arpad Bischof, Heinz Handels

Proceedings Volume 8669, 86691D (2013) https://doi.org/10.1117/12.2006356

KEYWORDS: Breast, Magnetic resonance imaging, Mammography, 3D image processing, Image registration, Tissues, 3D acquisition, Image segmentation, Computer simulations, Image compression

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Proceedings Article | 13 March 2013 Paper

Patch-based label fusion using local confidence-measures and weak segmentations

André Mastmeyer, Dirk Fortmeier, Ehsan Maghsoudi, Martin Simon, Heinz Handels

Proceedings Volume 8669, 86691N (2013) https://doi.org/10.1117/12.2006082

KEYWORDS: Image segmentation, Liver, Spleen, Image fusion, Image registration, Image processing algorithms and systems, Image processing, Natural surfaces, Data fusion, Distance measurement

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Proceedings Article | 17 February 2012 Paper

Model-based risk assessment for motion effects in 3D radiotherapy of lung tumors

René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Heinz Handels

Proceedings Volume 8316, 83160C (2012) https://doi.org/10.1117/12.911385

KEYWORDS: 3D modeling, Lung, Motion models, Tumors, Radiotherapy, 4D CT imaging, Motion estimation, 3D image processing, Computed tomography, Model-based design

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Proceedings Article | 14 February 2012 Paper

Pulmonary lobe segmentation with level sets

Alexander Schmidt-Richberg, Jan Ehrhardt, Matthias Wilms, René Werner, Heinz Handels

Proceedings Volume 8314, 83142V (2012) https://doi.org/10.1117/12.911378

KEYWORDS: Image segmentation, Lung, Image quality, Image enhancement, Computed tomography, Image processing, Diagnostics, Medical imaging, Silicon, Image registration

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Proceedings Article | 14 February 2012 Paper

Automatic correspondence detection in mammogram and breast tomosynthesis images

Jan Ehrhardt, Julia Krüger, Arpad Bischof, Jörg Barkhausen, Heinz Handels

Proceedings Volume 8314, 831421 (2012) https://doi.org/10.1117/12.911305

KEYWORDS: Mammography, Breast, 3D image processing, Image registration, Digital mammography, Acquisition tracking and pointing, Tomography, Tissues, Image acquisition, 3D image reconstruction

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Two-dimensional mammography is the major imaging modality in breast cancer detection. A disadvantage of mammography is the projective nature of this imaging technique. Tomosynthesis is an attractive modality with the potential to combine the high contrast and high resolution of digital mammography with the advantages of 3D imaging. In order to facilitate diagnostics and treatment in the current clinical work-flow, correspondences between tomosynthesis images and previous mammographic exams of the same women have to be determined. In this paper, we propose a method to detect correspondences in 2D mammograms and 3D tomosynthesis images automatically. In general, this 2D/3D correspondence problem is ill-posed, because a point in the 2D mammogram corresponds to a line in the 3D tomosynthesis image. The goal of our method is to detect the "most probable" 3D position in the tomosynthesis images corresponding to a selected point in the 2D mammogram. We present two alternative approaches to solve this 2D/3D correspondence problem: a 2D/3D registration method and a 2D/2D mapping between mammogram and tomosynthesis projection images with a following back projection. The advantages and limitations of both approaches are discussed and the performance of the methods is evaluated qualitatively and quantitatively using a software phantom and clinical breast image data. Although the proposed 2D/3D registration method can compensate for moderate breast deformations caused by different breast compressions, this approach is not suitable for clinical tomosynthesis data due to the limited resolution and blurring effects perpendicular to the direction of projection. The quantitative results show that the proposed 2D/2D mapping method is capable of detecting corresponding positions in mammograms and tomosynthesis images automatically for 61 out of 65 landmarks. The proposed method can facilitate diagnosis, visual inspection and comparison of 2D mammograms and 3D tomosynthesis images for the physician.

Proceedings Article | 15 March 2011 Paper

Direction-dependent level set segmentation of cerebrovascular structures

Nils Daniel Forkert, Dennis Säring, Till Illies, Jens Fiehler, Jan Ehrhardt, Heinz Handels, Alexander Schmidt-Richberg

Proceedings Volume 7962, 79623S (2011) https://doi.org/10.1117/12.877942

KEYWORDS: Image segmentation, Image enhancement, Fuzzy logic, Visualization, Brain, 3D image processing, Image filtering, Tissues, 3D-TOF imaging, Health informatics

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Proceedings Article | 11 March 2011 Paper

Landmark-driven parameter optimization for non-linear image registration

Alexander Schmidt-Richberg, René Werner, Jan Ehrhardt, Jan-Christoph Wolf, Heinz Handels

Proceedings Volume 7962, 79620T (2011) https://doi.org/10.1117/12.877059

KEYWORDS: Image registration, Medical imaging, Lung, Image fusion, Motion estimation, Distance measurement, Image processing, 4D CT imaging, Gold, Computed tomography

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Proceedings Article | 13 March 2010 Paper

Coupled level set segmentation using a point-based statistical shape model relying on correspondence probabilities

Heike Hufnagel, Jan Ehrhardt, Xavier Pennec, Alexander Schmidt-Richberg, Heinz Handels

Proceedings Volume 7623, 762318 (2010) https://doi.org/10.1117/12.844289

KEYWORDS: Image segmentation, Statistical modeling, Kidney, Data modeling, Bone, Computed tomography, Head, Shape analysis, Evolutionary algorithms, Affine motion model

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Proceedings Article | 13 March 2010 Paper

Closing of interrupted vascular segmentations: an automatic approach based on shortest paths and level sets

Nils Daniel Forkert, Alexander Schmidt-Richberg, Dennis Säring, Till Illies, Jens Fiehler, Heinz Handels

Proceedings Volume 7623, 76233G (2010) https://doi.org/10.1117/12.844210

KEYWORDS: Image segmentation, Visualization, Medical research, 3D image processing, Vascular diseases, Analytical research, Finite element methods, 3D-TOF imaging, Binary data, Neuroimaging

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Proceedings Article | 13 March 2010 Paper

A statistical shape and motion model for the prediction of respiratory lung motion

Jan Ehrhardt, René Werner, Alexander Schmidt-Richberg, Heinz Handels

Proceedings Volume 7623, 762353 (2010) https://doi.org/10.1117/12.844263

KEYWORDS: Motion models, Data modeling, Lung, Image registration, Principal component analysis, Statistical analysis, Model-based design, Statistical modeling, Motion estimation, 3D modeling

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Proceedings Article | 13 March 2010 Paper

Direction-dependent regularization for improved estimation of liver and lung motion in 4D image data

Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Heinz Handels

Proceedings Volume 7623, 76232Y (2010) https://doi.org/10.1117/12.844194

KEYWORDS: Motion estimation, Image registration, Lung, Liver, Motion models, Magnetic resonance imaging, Physiology, Image segmentation, Data modeling, 4D CT imaging

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Proceedings Article | 27 March 2009 Paper

Validation and comparison of a biophysical modeling approach and non-linear registration for estimation of lung motion fields in thoracic 4D CT data

Rene Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Heinz Handels

Proceedings Volume 7259, 72590U (2009) https://doi.org/10.1117/12.811130

KEYWORDS: Lung, Data modeling, Motion models, Tumors, Motion estimation, Image registration, Biological research, Physiology, 4D CT imaging, Model-based design

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Proceedings Article | 13 March 2009 Paper

Analysis and dynamic 3D visualization of cerebral blood flow combining 3D and 4D MR image sequences

Nils Daniel Forkert, Dennis Säring, Jens Fiehler, Till Illies, Dietmar Möller, Heinz Handels

Proceedings Volume 7261, 726133 (2009) https://doi.org/10.1117/12.813742

KEYWORDS: Visualization, 3D modeling, Hemodynamics, 3D image processing, Cerebral blood flow, Image visualization, Temporal resolution, 3D visualizations, Magnetic resonance imaging, Data modeling

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Proceedings Article | 12 March 2008 Paper

Modeling respiratory lung motion: a biophysical approach using finite element methods

Rene Werner, Jan Ehrhardt, Rainer Schmidt, Heinz Handels

Proceedings Volume 6916, 69160N (2008) https://doi.org/10.1117/12.769155

KEYWORDS: Lung, Motion models, Tumors, Data modeling, Finite element methods, Process modeling, 3D modeling, Computed tomography, 4D CT imaging, Tissues

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Proceedings Article | 11 March 2008 Paper

Simultaneous segmentation and motion estimation in 4D-CT data using a variational approach

Jan Ehrhardt, Alexander Schmidt-Richberg, Heinz Handels

Proceedings Volume 6914, 691437 (2008) https://doi.org/10.1117/12.768228

KEYWORDS: Image segmentation, Image registration, Liver, Motion estimation, 4D CT imaging, Data modeling, Computed tomography, Tissues, Tumors, Motion models

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Proceedings Article | 11 March 2008 Paper

Comparison of statistical shape models built on correspondence probabilities and one-to-one correspondences

Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Nicholas Ayache, Heinz Handels

Proceedings Volume 6914, 69144T (2008) https://doi.org/10.1117/12.771136

KEYWORDS: Statistical modeling, Expectation maximization algorithms, Data modeling, Shape analysis, Principal component analysis, 3D modeling, Image segmentation, Optimization (mathematics), Clouds, Brain

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Proceedings Article | 21 March 2007 Paper

Simulation and training of lumbar punctures using haptic volume rendering and a 6DOF haptic device

Matthias Färber, Julika Heller, Heinz Handels

Proceedings Volume 6509, 65090F (2007) https://doi.org/10.1117/12.709253

KEYWORDS: Haptic technology, Visualization, Volume rendering, Virtual reality, Data modeling, Image segmentation, Skin, Bone, 3D visualizations, Computed tomography

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Proceedings Article | 5 March 2007 Paper

Analysis of free breathing motion using artifact reduced 4D CT image data

Jan Ehrhardt, Rene Werner, Thorsten Frenzel, Wei Lu, Daniel Low, Heinz Handels

Proceedings Volume 6512, 65121N (2007) https://doi.org/10.1117/12.708171

KEYWORDS: Tumors, Lung, Motion analysis, 4D CT imaging, Image segmentation, Skin, Computed tomography, Visualization, 3D image reconstruction, Optical flow

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Proceedings Article | 10 March 2006 Paper

Reconstruction of 4D-CT data sets acquired during free breathing for the analysis of respiratory motion

Jan Ehrhardt, Rene Werner, Thorsten Frenzel, Dennis Säring, Wei Lu, Daniel Low, Heinz Handels

Proceedings Volume 6144, 614414 (2006) https://doi.org/10.1117/12.651730

KEYWORDS: Computed tomography, 4D CT imaging, Optical flow, Data acquisition, Radiotherapy, Motion analysis, Spirometry, Scanners, Image registration, Visualization

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Proceedings Article | 10 March 2006 Paper

Representation and visualization of variability in a 3D anatomical atlas using the kidney as an example

Silke Hacker, Heinz Handels

Proceedings Volume 6141, 61410B (2006) https://doi.org/10.1117/12.653504

KEYWORDS: Kidney, 3D modeling, Visualization, RGB color model, Data modeling, Visual process modeling, Chemical species, 3D image processing, Photography, Computed tomography

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Proceedings Article | 10 March 2006 Paper

Optical flow based interpolation of temporal image sequences

Jan Ehrhardt, Dennis Säring, Heinz Handels

Proceedings Volume 6144, 61442K (2006) https://doi.org/10.1117/12.652559

KEYWORDS: Optical flow, Magnetic resonance imaging, Image registration, Medical imaging, Tomography, Temporal resolution, Imaging devices, Algorithm development, Image acquisition, Data acquisition

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Proceedings Article | 24 June 1998 Paper

New approach for automatic recognition of melanoma in profilometry: optimized feature selection using genetic algorithms

Heinz Handels, Th Ross, J. Kreusch, H. Wolff, S. Poeppl

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310948

KEYWORDS: Genetic algorithms, Feature selection, Melanoma, Fractal analysis, Skin, Neural networks, Stochastic processes, Image analysis, Feature extraction, Binary data

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