Computational Diffusion MRI

MICCAI Workshop, Québec, Canada, September 2017

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Applied, Science
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: 9783319738390
Publisher: Springer International Publishing Publication: April 2, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319738390
Publisher: Springer International Publishing
Publication: April 2, 2018
Imprint: Springer
Language: English

This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as frontline applications in neuroscience research and clinical practice.

These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI’17) held in Québec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics.

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

This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as frontline applications in neuroscience research and clinical practice.

These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI’17) held in Québec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics.

More books from Springer International Publishing

Cover of the book Intelligent Information and Database Systems by
Cover of the book Cardio-Oncology by
Cover of the book The Ghost Cities of Australia by
Cover of the book OWL: Experiences and Directions – Reasoner Evaluation by
Cover of the book The Pillars of the Italian Economy by
Cover of the book From Information to Smart Society by
Cover of the book System Dynamics Modeling with R by
Cover of the book Building Financial Resilience by
Cover of the book Engineering Psychology and Cognitive Ergonomics by
Cover of the book The ’Ndrangheta and Sacra Corona Unita by
Cover of the book User-Centric Ultra-Dense Networks for 5G by
Cover of the book Research Outside The Academy by
Cover of the book Improving Reading Comprehension of Middle and High School Students by
Cover of the book Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data by
Cover of the book Common Musculoskeletal Problems 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