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 clinicallyrelevant results. As such it
will be of interest to researchers and practitioners in the fields of computer science MRI
physics and applied mathematics.
