• Patrick Scheibe, Ulf-Dietrich Braumann, Jens-Peer Kuska,
  Projection Technique for Vortex-Free Registration.
  Bildverarbeitung für die Medizin 2007 - Algorithmen, Systeme, Anwendungen. Informatik aktuell. Springer-Verlag. 2007. Editor: A. Horsch, T.M. Deserno, H. Handels, H.-P. Meinzer, T. Tolxdorff
• Jens-Peer Kuska, Patrick Scheibe, Ulf-Dietrich Braumann,
  Fluid Extensions for Optical Flow and Diffusion-based Image Registration.
  Bildverarbeitung für die Medizin 2008 - Algorithmen, Systeme, Anwendungen. Informatik aktuell. Springer-Verlag. 2008. Editor: T. Tolxdorff, A. Horsch, T.M. Deserno, H. Handels, H.-P. Meinzer,
• Jens-Peer Kuska, Patrick Scheibe, Ulf-Dietrich Braumann,
  Fast Fluid Extensions for Image Registration Algorithms.
  IEEE International Conference on Image Processing. 2008
• Olaf Minet, Patrick Scheibe, Juergen Beuthan, Urszula Zabarylo,
  Correction of motion artefacts and pseudo colour visualization of multispectral light scattering images for optical diagnosis of rheumatoid arthritis.
  Proc. SPIE. 2009 (in press).
• Olaf Minet, Patrick Scheibe, Urszula Zabarylo,
  Diagnosis of rheumatoid arthritis using light: correction of motion artefacts and colour visualization of multispectral images.
  Journal of Biophotonics. 2010
• Patrick Scheibe, Ulf-Dietrich Braumann, Jens-Peer Kuska, Markus Löffler, Jan C. Simon, Uwe Paasch, Tino Wetzig,
  Image-processing Chain for a Three-dimensional Reconstruction of Basal Cell Carcinomas.
  Experimental Dermatology. 2010
• Patrick Scheibe, Tino Wetzig, Jens-Peer Kuska, Markus Löffler, Jan C. Simon, Uwe Paasch, Ulf-Dietrich Braumann,
  3D-Reconstruction of Basal Cell Carcinoma.
  Biomedical Image Registration. 2010
• Löffler, Markus, Lars Greulich, Patrick Scheibe, Philip Kahl, Ulf-Dietrich Braumann, Jens-Peer Kuska, Nicolas Wernert,
  Classifying Prostate Cancer by Quantitative Histomorphometry.
  To appear 2012 in Journal of Urology
• Nico Scherf, Christian Ludborzs, Konstantin Thierbach, Jens-Peer Kuska, Ulf-Dietrich Braumann, Patrick Scheibe, Ingmar Glauche, Ingo Roeder,
  FluidTrack - Combining Nonlinear Image Registration and Active Contours for Cell Tracking.
  To appear 2012 in Bildverarbeitung für die Medizin.
• Patrick Scheibe, Philipp Wüstling, Christian Voigt, Thomas Hierl, Ulf-Dietrich Braumann,
  Inkrementelle lokal-adaptive Binarisierung zur Unterdrückung von Artefakten in der Knochenfeinsegmentierung.
  To appear 2012 in Bildverarbeitung für die Medizin.

• Poster for the 13. Leipziger Workshop.
  cytomics.pdf (2.3 MB)

This was a presentation I gave at the 2nd Mathematica-day in Leipzig at september 24th. I showed the whole process of integrating the gpu-calculations into Mathematica and used julia-sets and a rigid registration as example. The presentation notebook and the required Mathematica-package can be downloaded here: CUDALecture.tar.gz (5MB)

That talk was given at the 12. Mathematica-day in Berlin (November 2010) and it shows how the the basic, radial Droste-Effect works and how it can be implemented using the Wolfram Link Library of Mathematica 8.0. This file includes the whole talk and all preparation material including a small Mathematica-package and C-sources.
DrosteEffect.tar.gz (7MB)

That talk was given at the 12. Mathematica-day in Berlin (November 2010) and it shows how the the basic, radial Droste-Effect works and how it can be implemented using the Wolfram Link Library of Mathematica 8.0. This file includes the whole talk and all preparation material including a small Mathematica-package and C-sources.
DrosteEffect.tar.gz (7MB)

That talk was given at the 13. Mathematica-day in Berlin (December 2011). The presentation shows how to design unique patterns using persons names and model them onto a 3d visualization of a ring. While the approach itself is very simple, the presentation shows how to use the dynamic features of Mathematica beyond the trivial cases.
RingDesign.cdf (2.5MB)

• Patrick Scheibe, Projection Technique for Vortex-Free Image Registration.
  diploma_final.pdf (12 MB)

One important application of image processing in medicine is to register tissue samples onto another. Registering these high textured images with non-parametric methods leads sometimes to solutions which are known to be suboptimal.

This thesis is concerned with a novel approach for image registration. We present a projection technique for a curvature based non-parametric registration method which suppresses unwanted vortices in the displacement field. This new strategy does not change the registration method itself but it continuously leads the process of registration to a vortex-free solution.

The grounding method was introduced in [Ami94], used in [BK05] and extended in [BK06] with a vortex suppression term. Our new method calculates a Helmoltz decomposition on the intermediate steps and projects out unwanted vortices. This thesis describes the whole process of the image registration. Starting from the mathematical description of the Helmholtz decomposition, its variational presentation and the consequential partial differential equation, we will go on by looking at the discrete approximation, parts of the implementation and the application on images. Finally the results in comparison with the two other methods of Kuska and Braumann [BK05, BK06] are presented. For this purpose, samples are given and deformed with an artificial transformation. We will use these results and discover general properties, advantages and drawbacks of the different approaches.