Computational Diffusion MRI

These
Proceedings of the 2015 MICCAI Workshop ¿Computational Diffusion MRI¿ offer a
snapshot of the current state of the art on a broad range of topics within the
highly active and growing field of diffusion MRI. The topics vary from
fundamental theoretical work on mathematical modeling, to the development and
evaluation of robust algorithms, new computational methods applied to diffusion
magnetic resonance imaging data, and applications in neuroscientific studies
and clinical practice.

Over the
last decade interest in diffusion MRI has exploded. The technique provides
unique insights into the microstructure of living tissue and enables in-vivo
connectivity mapping of the brain. Computational techniques are key to the
continued success and development of diffusion MRI and to its widespread
transfer into clinical practice. New processing methods are essential for addressing
issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction,
modeling and model fitting, image processing, fiber tracking, connectivity
mapping, visualization, group studies and inference.

This
volume, which includes both careful mathematical derivations and a wealth of
rich, full-color visualizations and biologically or clinically relevant
results, offers a valuable starting point for anyone interested in learning
about computational diffusion MRI and mathematical methods for mapping brain
connectivity, as well as new perspectives and insights on current research
challenges for those currently working in the field. It will be of interest to
researchers and practitioners in the fields of computer science, MR physics,
and applied mathematics.¿