By Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert

Proceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” supply a
snapshot of the present state-of-the-art on a vast variety of themes inside the
highly lively and transforming into box of diffusion MRI. the themes vary from
fundamental theoretical paintings on mathematical modeling, to the advance and
evaluation of sturdy algorithms, new computational equipment utilized to diffusion
magnetic resonance imaging info, and purposes in neuroscientific studies
and scientific practice.

Over the
last decade curiosity in diffusion MRI has exploded. The method provides
unique insights into the microstructure of residing tissue and allows in-vivo
connectivity mapping of the mind. Computational recommendations are key to the
continued luck and improvement of diffusion MRI and to its widespread
transfer into medical perform. New processing equipment are crucial for addressing
issues at each one level of the diffusion MRI pipeline: acquisition, reconstruction,
modeling and version becoming, snapshot processing, fiber monitoring, connectivity
mapping, visualization, crew reviews and inference.

volume, including either cautious mathematical derivations and a wealth of
rich, full-color visualizations and biologically or clinically relevant
results, deals a worthwhile place to begin for someone drawn to learning
about computational diffusion MRI and mathematical equipment for mapping brain
connectivity, in addition to new views and insights on present research
challenges for these at present operating within the box. it will likely be of curiosity to
researchers and practitioners within the fields of computing device technology, MR physics,
and utilized mathematics.​

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Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015 (Mathematics and Visualization) by Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert

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