Intro; Preface; Program Committee; Contents; Part I Data Acquisition and Modeling; Estimating Tissue Microstructure Using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites; 1 Introduction; 2 MRS and DW-MRS (Very) Briefly; 3 Geometrical Models for Tissue Microstructure Estimates Using the Diffusion of Brain Metabolites; 4 Computational Models for Cell Morphology Estimates Using the Diffusion of Brain Metabolites; 5 Conclusion; References; (k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior; 1 Introduction; 2 Background and Prior Work; 3 Methods

Part II Image PostprocessingDiffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone; 1 Introduction; 1.1 Desired Properties of a dMRI Segmenter; 2 Methods; 2.1 Feature Extraction; 2.2 Classifier Selection; 2.3 Morphological Filtering; 2.4 Comparison with Other Intracranial Mask Generation Methods; 3 Data, Training, and Testing; 3.1 Data; 3.2 Training; 3.3 Testing; 4 Results; 5 Conclusions; References; Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree; 1 Introduction; 2 Methods

2.1 Discrete Representation of MAPs and Reorientation2.2 MAP Similarity Measure; 2.3 Diffeomorphic Registration of MAP Fields; 3 Results and Discussion; 4 Conclusion; References; Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis; 1 Introduction; 2 Related Work; 3 Diffusion Orientation Histogram Descriptors; 4 Experiments; 5 Discussion; References; Part III Tractography and Connectivity; Learning a Single Step of Streamline Tractography Based on Neural Networks; 1 Introduction; 2 Methods; 2.1 Input to the Network; 2.2 Output of the Network and Post Processing