TheseProceedings of the 2015 MICCAI Workshop Computational Diffusion MRI offer asnapshot of the
current state of the art on a broad range of topics within thehighly active and growing field
of diffusion MRI. The topics vary fromfundamental theoretical work on mathematical modeling to
the development andevaluation of robust algorithms new computational methods applied to
diffusionmagnetic resonance imaging data and applications in neuroscientific studiesand
clinical practice.Over thelast decade interest in diffusion MRI has exploded. The technique
providesunique insights into the microstructure of living tissue and enables
in-vivoconnectivity mapping of the brain. Computational techniques are key to thecontinued
success and development of diffusion MRI and to its widespreadtransfer into clinical practice.
New processing methods are essential for addressingissues at each stage of the diffusion MRI
pipeline: acquisition reconstruction modeling and model fitting image processing fiber
tracking connectivitymapping visualization group studies and inference.Thisvolume which
includes both careful mathematical derivations and a wealth ofrich full-color visualizations
and biologically or clinically relevantresults offers a valuable starting point for anyone
interested in learningabout computational diffusion MRI and mathematical methods for mapping
brainconnectivity as well as new perspectives and insights on current researchchallenges for
those currently working in the field. It will be of interest toresearchers and practitioners in
the fields of computer science MR physics and applied mathematics.
