Computational Diffusion MRI

Description

This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as frontline applications in neuroscience research and clinical practice. These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI’17) held in Québec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics. Front Matter ....Pages i-xi Front Matter ....Pages 1-1 Estimating Tissue Microstructure Using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites (Marco Palombo)....Pages 3-19 (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior (Evan Schwab, René Vidal, Nicolas Charon)....Pages 21-35 Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model (Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy et al.)....Pages 37-49 A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation (Mauro Zucchelli, Maxime Descoteaux, Gloria Menegaz)....Pages 51-63 Front Matter ....Pages 65-65 Diffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone (Robert I. Reid, Zuzana Nedelska, Christopher G. Schwarz, Chadwick Ward, Clifford R. Jack Jr., The Alzheimer’s Disease Neuroimaging Initiative)....Pages 67-80 Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree (Kévin Ginsburger, Fabrice Poupon, Achille Teillac, Jean-Francois Mangin, Cyril Poupon)....Pages 81-90 Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis (Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques De Guise, Matthew Toews)....Pages 91-99 Front Matter ....Pages 101-101 Learning a Single Step of Streamline Tractography Based on Neural Networks (Daniel Jörgens, Örjan Smedby, Rodrigo Moreno)....Pages 103-116 Probabilistic Tractography for Complex Fiber Orientations with Automatic Model Selection (Edwin Versteeg, Frans M. Vos, Gert Kwakkel, Frans C. T. van der Helm, Joor A. M. Arkesteijn, Olena Filatova)....Pages 117-128 Bundle-Specific Tractography (Francois Rheault, Etienne St-Onge, Jasmeen Sidhu, Quentin Chenot, Laurent Petit, Maxime Descoteaux)....Pages 129-139 A Sheet Probability Index from Diffusion Tensor Imaging (Michael Ankele, Thomas Schultz)....Pages 141-154 Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion (Chendi Wang, Bernard Ng, Alborz Amir-Khalili, Rafeef Abugharbieh)....Pages 155-164 Brain Parcellation and Connectivity Mapping Using Wasserstein Geometry (Hamza Farooq, Yongxin Chen, Tryphon Georgiou, Christophe Lenglet)....Pages 165-174 Exploiting Machine Learning Principles for Assessing the Fingerprinting Potential of Connectivity Features (Silvia Obertino, Sofía Jiménez Hernández, Ilaria Boscolo Galazzo, Francesca Benedetta Pizzini, Mauro Zucchelli, Gloria Menegaz)....Pages 175-188 Front Matter ....Pages 189-189 Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players (Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv)....Pages 191-204 Longitudinal Analysis Framework of DWI Data for Reconstructing Structural Brain Networks with Application to Multiple Sclerosis (Thalis Charalambous, Ferran Prados, Carmen Tur, Baris Kanber, Sebastien Ourselin, Declan Chard et al.)....Pages 205-218 Multi-Modal Analysis of Genetically-Related Subjects Using SIFT Descriptors in Brain MRI (Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers)....Pages 219-228 VERDICT Prostate Parameter Estimation with AMICO (Elisenda Bonet-Carne, Alessandro Daducci, Edward Johnston, Joseph Jacobs, Alex Freeman, David Atkinson et al.)....Pages 229-241 Back Matter ....Pages 243-245