Computational Diffusion MRI

Chapter 1 Vector Weights and Dual Graphs: An Emphasis on Connections in Brain Network Analysis

Chapter 2 Rich Club Network Analysis Shows Distinct Patterns of Disruption in Frontotemporal Dementia and Alzheimer’s Disease

Chapter 3 Parcellation-Independent Multi-Scale Framework for Brain Network Analysis

Chapter 4 Computational Diffusion MRI

Chapter 5 The Added Value of Diffusion Tensor Imaging for Automated White Matter Hyperintensity Segmentation

Chapter 6 Algebraic Connectivity of Brain Networks Shows Patterns of Segregation Leading to Reduced Network Robustness in Alzheimer’s Disease

Chapter 7 Diffusion-Map: A Novel Visualizing Biomarker for Diffusion Tensor Imaging of Human Brain White Matter

Chapter 8 A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis

Chapter 9 Computational Diffusion MRI

Chapter 10 Fiber Bundle Segmentation Using Spectral Embedding and Supervised Learning

Chapter 11 Atlas-Guided Global Tractography: Imposing a Prior on the Local Track Orientation

Chapter 12 Magnitude and Complex Based Diffusion Signal Reconstruction

Chapter 13 Diffusion Propagator Estimation Using Gaussians Scattered in q-Space

Chapter 14 An Analytical 3D Laplacian Regularized SHORE Basis and Its Impact on EAP Reconstruction and Microstructure Recovery

Chapter 15 Motion Is Inevitable: The Impact of Motion Correction Schemes on HARDI Reconstructions

Chapter 16 Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate

Chapter 17 Bilateral Filtering of Multiple Fiber Orientations in Diffusion MRI

Chapter 18 Dictionary Based Super-Resolution for Diffusion MRI