Computational Diffusion MRI

Name: Computational Diffusion MRI
Price: 201.58 AUD
Availability: OutOfStock
ISBN: 9783319111810

MICCAI Workshop, Boston, MA, USA, September 2014

Lauren O'Donnell, Gemma Nedjati-Gilani, Yogesh Rathi , Marco Reisert

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Hardback

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English

Springer International Publishing AG
19 March 2015

Nuclear magnetic resonance (NMR & MRI); Applied mathematics; Image processing

Series: Mathematics and Visualization

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.

Edited by: Lauren O'Donnell, Gemma Nedjati-Gilani, Yogesh Rathi, Marco Reisert, Torben Schneider
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2014 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 14mm
Weight: 4.734kg
ISBN: 9783319111810
ISBN 10: 3319111817
Series: Mathematics and Visualization
Pages: 219
Publication Date: 19 March 2015
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

I. Network analysis.- II. Clinical applications.- III. Tractography.- IV. Q-space reconstruction.- V. Post-processing.