Schultz, Th., Nedjati-Gilani, G., Venkataraman, A., O'Donnell, L., Panagiotaki, E. (Eds.)
2014, XIV, 255 p. 78 illus., 67 illus. in color.
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Offers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivity
Features the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13)
Contributions include both careful mathematical derivations and a large number of rich full-color visualizations
Leading experts in the fields on the program committees
This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.
Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.
This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
Content Level »Research
Keywords »Connectomics - Diffusion Magnetic Resonance Imaging - Fiber Tractography - Medical Image Analysis - Neuroimaging