Abstracts of the Workshop

• Andy Adler, Regularized temporal ensemble averaging for EIT, [pdf]
• Simon Arridge, Sampling and Reconstruction in Fluorescence Diffuse Optical Tomgraphy, [pdf]
• Roland Bammer, Acquisition and Reconstruction Methods for in-vivo Diffusion Tensor Magnetic Resonance Imaging, [pdf]
• Tobias Block, Iterative Reconstruction Concepts for Magnetic Resonance Imaging, [pdf]
• Raymond Chan, A Unified Tight-frame Approach for Missing Data Recovery in Images, [pdf]
• Oliver Dorn, A level set method for structural inversion in medical, [pdf]
• Huw Griffiths, Medical imaging by megnetic induction tomography: present limitations, [pdf]
• Scott Hoge, On the Use of Complementary Encoding Techniques to Improve MR Imaging, [pdf]
• Ulrich Katscher, Mathematical challenges and new developments in parallel transmit techniques, [pdf]
• Zhi-Pei Liang, Image Reconstruction from Undersampled Data with Sparsity and Rank Constraints, [pdf]
• Mila Nikolova, Fast dejittering for digital video frames using local nonsmooth and non-convex functionals, [pdf]
• Tobias Preusser, Image processing under gray value uncertainty, [pdf]
• Klaas Prüssmann, MRI beyond Fourier encoding: From array detection to higher-order field dynamics , [pdf]
• Christoph Schnörr, Fast and Exact Primal-Dual Iteration for Relaxed Variational Problems in Computer Vision, [pdf]
• Gerrit Schultz, PatLoc: MR Imaging with Non-bijective and Curvilinear Magnetic Encoding Fields, [pdf]
• Joachim Weickert, Image reconstruction from incomplete data with the laplace equation, [pdf]
• Wotao Yin, Fast Algorithms for Compressive Sensing/Imaging based on Splitting, [pdf]