Computational Diffusion MRI

MICCAI Workshop, Boston, MA, USA, September 2014

Nonfiction, Science & Nature, Mathematics, Counting & Numeration, Applied
Cover of the book Computational Diffusion MRI by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319111827
Publisher: Springer International Publishing Publication: February 17, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319111827
Publisher: Springer International Publishing
Publication: February 17, 2015
Imprint: Springer
Language: English

This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers 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.

Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.

Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers 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.

Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.

Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.

More books from Springer International Publishing

Cover of the book Perineal Trauma at Childbirth by
Cover of the book Advances in Web-Based Learning – ICWL 2018 by
Cover of the book Development of New Radical Cascades and Multi-Component Reactions by
Cover of the book Emerging Methods in Family Research by
Cover of the book State-Space Approaches for Modelling and Control in Financial Engineering by
Cover of the book Evolutionary Multi-Criterion Optimization by
Cover of the book Similarity Search and Applications by
Cover of the book Knowledge-Intensive Entrepreneurship by
Cover of the book Data Mining and Big Data by
Cover of the book Surgical Patient Care by
Cover of the book Assessing Competence in Professional Performance across Disciplines and Professions by
Cover of the book The Physics of Galaxy Formation by
Cover of the book Modeling Steel Deformation in the Semi-Solid State by
Cover of the book Belief Functions: Theory and Applications by
Cover of the book Leadership Today by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy