Abstracts of the Workshop

• Kai Tobias Block, “Breathe In, Breathe Out, Continue Breathing” Towards Full Free-Breathing Abdominal MRI Using Radial Sampling and Compressed Sensing, [pdf]
• Martijn Cloos, Magnetic Resonance Fingerprinting Demystified, [pdf]
• Jalal Fadili, Low Complexity Regularization of Inverse Problems: from Sensitivity Analysis to Algorithms, [pdf]
• Hye-Young Heo, Accelerating Chemical Exchange Saturation Transfer (CEST) Imaging using Compressed Sensing Technique, [pdf]
• Bernhard Kainz, Efficient motion compensation for fetal MRI, [pdf]
• Michael Lustig, Applications of Subspace and Low-Rank Methods for Dynamic and Multi-Contrast MR Imaging, [pdf]
• Thomas Pock, Learning better Models for Imaging, [pdf]
• Kawin Setsompop, Rapid Brain MRI: more speed and more information, [pdf]
• Gabriele Steidl, Variational Models for Restoring Manifold-Valued Images, [pdf]
• Benedikt Wirth, A framework for Wasserstein-1-type metrics for applications in imaging and image processing, [pdf]
• Jerome Yerly, Changing a Paradigm: Comprehensive and Fully Self-Gated 3D Functional and Anatomical Assessment of the Whole Heart Using Magnetic Resonance Imaging and Compressed Sensing, [pdf]
• Maxim Zaitsev, Hardware and Methods for Imaging with Non-Linear Encoding Fields, [pdf]
• Jinyuan Zhou, Clinical CEST MRI: Technical Challenges and Developments, [pdf]
  
  
  
• Christoph Aigner, Towards tailored refocusing in minimum time, [pdf]
• Christina Brandt, Edge Preserving and Noise Reducing Recontruction for 4D Magnetic Particle Imaging, [pdf]
• Javier Royuela del Val, Cardio-respiratory motion estimation for compressed sensing reconstruction of free-breathing 2D cine MRI, [pdf]
• Alexander Effland, Interpolation and Extrapolation in the Space of Images, [pdf]
• Daria Ghilli, A monotone scheme for sparsity optimization in l^p with p ∈ (0,1], [pdf]
• Adam Kettinger, Tailored RF pulses for optimized phase-constrained parallel imaging: initial experience on a clinical system, [pdf]
• Carole Lazarus, Compressed Sensing in MRI: how the Maximum Undersampling Factor depends on the Image Size and the SNR, [pdf]
• Yura Malitsky, A first-order primal-dual algorithm with linesearch, [pdf]
• Adrian MARTIN, Variational Models for Magnetic Resonance Imaging Denoising, [pdf]
• Kostas Papafitsoros, Analytical aspects of spatially adapted total variation regularisation, [pdf]
• Armin Rund, Towards tailored refocusing in minimum time, [pdf]
• Jasper Schoormans, Sparse averaging to improve low SNR acquisitions, [pdf]
• Matthias Schlögl, ICTGV reconstruction for accelerated Non-Cartesian DCE and quantitative MRI, [pdf]
• David Vicente, Why is Total Generalized Variation an adapted regularizer for the reconstruction of Quantitative Susceptibility Mapping?, [pdf]
  
  
  
• Robert Beinert, Ambiguities in one-dimensional phase retrieval from Fourier magnitudes, [pdf]
• Markus Bödenler, Fast Optimization of RF Excitation, [pdf]
• Martin Holler, Joint MR-PET reconstruction using nuclear norm based multi-channel TGV regularization., [pdf]
• Andreas Lesch, Highly accelerated Bloch-Siegert B1-mapping using variational modeling, [pdf]
• Oliver Maier, Accelerated T1 Mapping using Model Based Reconstruction in an iteratively TGV regularized Gauss-Newton Framework, [pdf]
• Andreas Petrovic, Computing signal amplitudes for MR sequences with equally spaced RF pulses with arbitrary excitation and refocusing flip angle and phase, [pdf]
• Stefan Spann, Total generalized variation (TGV) for spatio-temporal denoising of high resolution ASL perfusion data, [pdf]