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Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016 (Mathematics and Visualization) [Repost]
![Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016 (Mathematics and Visualization) [Repost]](https://pixhost.icu/avaxhome/56/cf/0047cf56.jpg)
Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016 (Mathematics and Visualization) by Andrea Fuster
English | 26 Jun. 2017 | ISBN: 3319541293 | 226 Pages | PDF | 9.5 MB
English | 26 Jun. 2017 | ISBN: 3319541293 | 226 Pages | PDF | 9.5 MB
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.