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Books > Computing & IT > Applications of computing > Image processing
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Computational Diffusion MRI - MICCAI Workshop, Athens, Greece, October 2016 (Hardcover, 1st ed. 2017)
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Computational Diffusion MRI - MICCAI Workshop, Athens, Greece, October 2016 (Hardcover, 1st ed. 2017)
Series: Mathematics and Visualization
Expected to ship within 10 - 15 working days
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This volume offers a valuable starting point for anyone interested
in learning computational diffusion MRI and mathematical methods
for brain connectivity, while also sharing new perspectives and
insights on the latest research challenges for those currently
working in the field. Over the last decade, interest in diffusion
MRI has virtually 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 the clinic, while new processing
methods are essential to 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. These papers
from the 2016 MICCAI Workshop "Computational Diffusion MRI" - which
was intended to provide a snapshot of the latest developments
within the highly active and growing field of diffusion MR - cover
a wide range of topics, from fundamental theoretical work on
mathematical modeling, to the development and evaluation of robust
algorithms and applications in neuroscientific studies and clinical
practice. The contributions include rigorous mathematical
derivations, a wealth of rich, full-color visualizations, and
biologically or clinically relevant results. As such, they will be
of interest to researchers and practitioners in the fields of
computer science, MR physics, and applied mathematics.
General
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