Skip to main content

previous disabled Page of 2
and
  1. No Access

    Article

    Combined automated 3D volumetry by pulmonary CT angiography and echocardiography for detection of pulmonary hypertension

    To assess the diagnostic accuracy of automated 3D volumetry of central pulmonary arteries using computed tomography pulmonary angiography (CTPA) for suspected pulmonary hypertension alone and in combination wi...

    Claudius Melzig, Stefan Wörz, Benjamin Egenlauf, Sasan Partovi in European Radiology (2019)

  2. No Access

    Chapter and Conference Paper

    Spline-Based Multimodal Image Registration of 3D PLI Data of the Human Brain

    Registration of high-resolution 3D polarized light images (PLI) to reference blockface images is necessary for the analysis of brain fiber structures. We present an automatic approach for the registration of h...

    Sharib Ali, Karl Rohr, David Gräßel in Bildverarbeitung für die Medizin 2017 (2017)

  3. No Access

    Article

    Aortic morphometry at endograft position as assessed by 3D image analysis affects risk of type I endoleak formation after TEVAR

    The purpose of this study was to identify morphologic factors affecting type I endoleak formation and bird-beak configuration after thoracic endovascular aortic repair (TEVAR).

    Drosos Kotelis, Carolin Brenke, Stefan Wörz in Langenbeck's Archives of Surgery (2015)

  4. No Access

    Chapter and Conference Paper

    3D Model-Based Segmentation of 3D Biomedical Images

    A central task in biomedical image analysis is the segmentation and quantification of 3D image structures. A large variety of segmentation approaches have been proposed including approaches based on different ...

    Stefan Wörz in Mathematical and Engineering Methods in Computer Science (2014)

  5. No Access

    Chapter

    Cell Segmentation and Cell Splitting Based on Gradient Flow Tracking in Microscopic Images

    We introduce a new approach for segmentation and splitting of cells in different types of microscopy images. Our approach is based on gradient flow tracking followed by local adaptive thresholding to extract n...

    Julian Hennies, Jan-Philip Bergeest, Simon Eck in Bildverarbeitung für die Medizin 2014 (2014)

  6. No Access

    Chapter

    Quantification of the Aortic Morphology in Follow-Up 3D-MRA Images of Children

    The segmentation of the thoracic aorta and its main branches from medical image data is an important task in vascular image analysis. We introduce a new model-based approach for the segmentation of these vesse...

    Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold in Bildverarbeitung für die Medizin 2014 (2014)

  7. No Access

    Article

    True four-dimensional analysis of thoracic aortic displacement and distension using model-based segmentation of computed tomography angiography

    Previous analyses of aortic displacement and distension using computed tomography angiography (CTA) were performed on double-oblique multi-planar reformations and did not consider through-plane motion. The aim...

    Tim F. Weber, Tobias Müller in The International Journal of Cardiovascula… (2014)

  8. No Access

    Article

    Spline-Based Hybrid Image Registration using Landmark and Intensity Information based on Matrix-Valued Non-radial Basis Functions

    We introduce a new approach for spline-based elastic image registration using both point landmarks and intensity information. With this approach, both types of information as well as a regularization based on ...

    Stefan Wörz, Karl Rohr in International Journal of Computer Vision (2014)

  9. No Access

    Chapter and Conference Paper

    Segmentation of Heterochromatin Foci Using a 3D Spherical Harmonics Intensity Model

    We introduce a 3D model-based approach for automatic segmentation of 3D fluorescent heterochromatin foci from 3D microscopy images. The approach employs a new 3D parametric intensity model based on a spherical...

    Simon Eck, Stefan Wörz, Andreas Biesdorf in Bildverarbeitung für die Medizin 2013 (2013)

  10. No Access

    Chapter and Conference Paper

    Globally Minimal Path Method Using Dynamic Speed Functions Based on Progressive Wave Propagation

    In this paper, we propose a novel framework which extends the classical minimal path methods. Usually, minimal path methods can be interpreted as the simulation of the outward propagation of a wavefront emanat...

    Wei Liao, Stefan Wörz, Karl Rohr in Computer Vision – ACCV 2012 (2013)

  11. Chapter and Conference Paper

    Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation

    We introduce a novel fast marching approach with curvature regularization for vessel segmentation. Since most vessels have a smooth path, curvature can be used to distinguish desired vessels from short cuts, whic...

    Wei Liao, Karl Rohr, Stefan Wörz in Medical Image Computing and Computer-Assis… (2013)

  12. No Access

    Chapter

    Combined Model-Based and Region-Adaptive 3D Segmentation and 3D Co-Localization Analysis of Heterochromatin Foci

    The nuclear organization of euchromatin and heterochromatin is important for genome regulation and cell function. Therefore, the analysis of heterochromatin formation and maintenance is an important topic in b...

    Simon Eck, Karl Rohr, Katharina Müller-Ott in Bildverarbeitung für die Medizin 2012 (2012)

  13. Chapter and Conference Paper

    Model-Based Segmentation and Motion Analysis of the Thoracic Aorta from 4D ECG-Gated CTA Images

    Pathologies of the thoracic aorta can alter the shape and motion pattern of the aorta throughout the cardiac cycle. For diagnosis and therapy planning, determination of the aortic shape and motion is important...

    Andreas Biesdorf, Stefan Wörz, Tobias Müller in Medical Image Computing and Computer-Assis… (2011)

  14. No Access

    Chapter

    Aortic Arch Quantification using Efficient Joint Segmentation and Registration

    Accurate aortic arch quantification is important for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for the quantification of the aortic arch morphology with improved computati...

    Andreas Biesdorf, Karl Rohr in Bildverarbeitung für die Medizin 2011 (2011)

  15. No Access

    Chapter

    Model-Based Quantification of Small Tubular Structures in 3D Vascular Images

    We introduce a new 3D tubular intensity model in conjunction with a model fitting scheme for accurate segmentation and quantification of small tubular structures in 3D vascular images. The tubular model is for...

    Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr in Bildverarbeitung für die Medizin 2011 (2011)

  16. Chapter and Conference Paper

    Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch

    Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for the quantification of the aortic arch morphology that c...

    Andreas Biesdorf, Karl Rohr in Medical Image Computing and Computer-Assis… (2010)

  17. No Access

    Chapter and Conference Paper

    Landmark-Based 3D Elastic Registration of Pre- and Postoperative Liver CT Data

    The qualitative and quantitative comparison of pre- and postoperative image data is an important possibility to validate computer assisted surgical procedures. Due to deformations after surgery a non-rigid reg...

    Thomas Lange, Stefan Wörz, Karl Rohr in Bildverarbeitung für die Medizin 2009 (2009)

  18. Chapter and Conference Paper

    Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information

    We introduce a new hybrid approach for spline-based elastic registration of multimodal medical images. The approach uses point landmarks as well as intensity information based on local analytic measures for jo...

    Andreas Biesdorf, Stefan Wörz in Medical Image Computing and Computer-Assis… (2009)

  19. No Access

    Chapter and Conference Paper

    Hybrid Spline-Based Multimodal Registration Using a Local Measure for Mutual Information

    We introduce a new hybrid approach for spline-based elastic registration of multimodal medical images. The approach uses point landmarks as well as intensity information based on local analytic measures for mu...

    Andreas Biesdorf, Stefan Wörz, Hans-Jürgen Kaiser in Bildverarbeitung für die Medizin 2009 (2009)

  20. No Access

    Chapter and Conference Paper

    Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures

    We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and particle filter tracking. In compariso...

    Stefan Wörz, William J. Godinez, Karl Rohr in Bildverarbeitung für die Medizin 2009 (2009)

previous disabled Page of 2