Diffusion MRI

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  • Author : Derek K Jones
  • Publisher : Oxford University Press
  • Pages : 784 pages
  • ISBN : 0199708703
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Diffusion MRI

Download or Read online Diffusion MRI full in PDF, ePub and kindle. this book written by Derek K Jones and published by Oxford University Press which was released on 11 November 2010 with total page 784 pages. We cannot guarantee that Diffusion MRI book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field and an essential resource for those working with diffusion MRI. Destined to be a modern classic, this definitive and richly illustrated work covers all aspects of diffusion MRI from basic theory to clinical application. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection of resources offering quick and easy access to eleven of Oxford University Press's prestigious neuroscience texts. Joining Oxford Medicine Online these resources offer students, specialists and clinical researchers the best quality content in an easy-to-access format.

Diffusion MRI

Diffusion MRI
  • Author : Derek K Jones
  • Publisher : Oxford University Press
  • Release : 11 November 2010
GET THIS BOOK Diffusion MRI

Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field and an essential resource for those working with diffusion MRI. Destined to be a modern classic, this definitive and richly illustrated work covers all aspects of diffusion MRI from basic theory to clinical application. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection

Diffusion MRI

Diffusion MRI
  • Author : Heidi Johansen-Berg,Timothy E. J. Behrens
  • Publisher : Unknown
  • Release : 26 November 2013
GET THIS BOOK Diffusion MRI

This title covers the field of diffusion imaging from the fundamental theory to its most cutting-edge applications. It contains sufficient detail to be a reference book for medical physicists, but also covers aspects of experimental design and example applications that will be of interest to clinical and basic neuroscientists. (Neuroscience)

Artificial Intelligence in Diffusion MRI

Artificial Intelligence in Diffusion MRI
  • Author : Mohammad Shehab
  • Publisher : Springer Nature
  • Release : 20 November 2019
GET THIS BOOK Artificial Intelligence in Diffusion MRI

This book focuses on the use of artificial intelligence to address a specific problem in the brain – the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Elisenda Bonet-Carne,Francesco Grussu,Lipeng Ning,Farshid Sepehrband,Chantal M. W. Tax
  • Publisher : Springer
  • Release : 23 April 2019
GET THIS BOOK Computational Diffusion MRI

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation

Diffusion Tensor Imaging

Diffusion Tensor Imaging
  • Author : Wim Van Hecke,Louise Emsell,Stefan Sunaert
  • Publisher : Springer
  • Release : 14 December 2015
GET THIS BOOK Diffusion Tensor Imaging

This book provides an overview of the practical aspects of diffusion tensor imaging (DTI), from understanding the basis of the technique through selection of the right protocols, trouble-shooting data quality, and analyzing DTI data optimally. DTI is a non-invasive magnetic resonance imaging (MRI) technique for visualizing and quantifying tissue microstructure based on diffusion. The book discusses the theoretical background underlying DTI and advanced techniques based on higher-order models and multi-shell diffusion imaging. It covers the practical implementation of DTI; derivation

Introduction to Diffusion Tensor Imaging

Introduction to Diffusion Tensor Imaging
  • Author : Susumu Mori,J-Donald Tournier
  • Publisher : Academic Press
  • Release : 02 August 2013
GET THIS BOOK Introduction to Diffusion Tensor Imaging

The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make matters worse, a many more complex higher-order methods have been proposed over the last few years to overcome the now well-known deficiencies of DTI. In Introduction to Diffusion Tensor Imaging: And Higher Order Models, these concepts are explained through extensive use of illustrations rather than equations to help readers gain a more intuitive understanding of the inner workings of these techniques.

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Elisenda Bonet-Carne,Jana Hutter,Marco Palombo,Marco Pizzolato,Farshid Sepehrband,Fan Zhang
  • Publisher : Springer
  • Release : 31 December 2020
GET THIS BOOK Computational Diffusion MRI

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book presents the latest advances in the rapidly expanding field of diffusion MRI. It shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Enrico Kaden,Francesco Grussu,Lipeng Ning,Chantal M. W. Tax,Jelle Veraart
  • Publisher : Springer
  • Release : 02 April 2018
GET THIS BOOK Computational Diffusion MRI

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

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert
  • Publisher : Springer
  • Release : 08 April 2016
GET THIS BOOK Computational Diffusion MRI

These Proceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice. Over the last decade interest in diffusion MRI has

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert
  • Publisher : Springer
  • Release : 11 May 2017
GET THIS BOOK Computational Diffusion MRI

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

Diffusion MRI Outside the Brain

Diffusion MRI Outside the Brain
  • Author : Antonio Luna,Ramón Ribes,Jorge A. Soto
  • Publisher : Springer Science & Business Media
  • Release : 22 November 2011
GET THIS BOOK Diffusion MRI Outside the Brain

Recent advances in MR technology permit the application of diffusion MRI outside of the brain. In this book, the authors present cases drawn from daily clinical practice to illustrate the role of diffusion sequences, along with other morphological and functional MRI information, in the work-up of a variety of frequently encountered oncological and non-oncological diseases. Breast, musculoskeletal, whole-body, and other applications are covered in detail, with careful explanation of the pros and cons of diffusion MRI in each circumstance. Quantification

Advanced analysis of diffusion MRI data

Advanced analysis of diffusion MRI data
  • Author : Xuan Gu
  • Publisher : Linköping University Electronic Press
  • Release : 19 November 2019
GET THIS BOOK Advanced analysis of diffusion MRI data

Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive imaging modality which can measure diffusion of water molecules, by making the MRI acquisition sensitive to diffusion. Diffusion MRI provides unique possibilities to study structural connectivity of the human brain, e.g. how the white matter connects different parts of the brain. Diffusion MRI enables a range of tools that permit qualitative and quantitative assessments of many neurological disorders, such as stroke and Parkinson. This thesis introduces novel methods for diffusion

MRI Clinics of North America an Issue of Magnetic Resonance Imaging Clinics of North America Volume 29 2

MRI Clinics of North America  an Issue of Magnetic Resonance Imaging Clinics of North America  Volume 29 2
  • Author : Kei Yamada
  • Publisher : Elsevier
  • Release : 28 May 2021
GET THIS BOOK MRI Clinics of North America an Issue of Magnetic Resonance Imaging Clinics of North America Volume 29 2

This issue of MRI Clinics focuses on Advances in Diffusion-weighted Imaging and is edited by Dr. Kei Yamada. Articles will include: Technical Basics of Diffusion-weighted Imaging; Neurofluid as Assessed by Diffusion-weighted Imaging; Diffusion-weighted Imaging is the Key to Diagnoses; Diffusion-weighted Imaging of the Spinal Cord; Intracranial Abnormalities with Diffusion Restriction; Brain Anatomy by Diffusion-weighted Imaging; Measuring Perfusion: Intravoxel Incoherent Motion; Temperature Measurement by Diffusion-weighted Imaging; Diffusion-weighted Imaging at Ultra-high Field MRI; Diffusion-weighted Imaging for Radiomics; Diffusion Weighted Imaging for Infants;

High resolution Diffusion MRI of Targeted Regions

High resolution Diffusion MRI of Targeted Regions
  • Author : Anonim
  • Publisher : Stanford University
  • Release : 25 July 2021
GET THIS BOOK High resolution Diffusion MRI of Targeted Regions

Diffusion magnetic resonance imaging (MRI) is an MRI method that provides information about random microscopic motion of water molecules in biological tissues. In addition to offering a higher sensitivity for the diagnosis of white matter diseases such as stroke and multiple sclerosis, and producing connectivity maps of the brain, it is a promising prognostic tool in the assessment and treatment response monitoring of cancer in the body. While high in-plane resolution is desirable for all diffusion MRI applications, it is