Computational Diffusion Mri And Brain Connectivity

Computational Diffusion Mri And Brain Connectivity Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Computational Diffusion Mri And Brain Connectivity book. This book definitely worth reading, it is an incredibly well-written.

Computational Diffusion MRI and Brain Connectivity

Thomas Schultz,Gemma Nedjati-Gilani,Archana Venkataraman,Lauren O'Donnell,Eleftheria Panagiotaki
Computational Diffusion MRI and Brain Connectivity Book PDF

Author : Thomas Schultz,Gemma Nedjati-Gilani,Archana Venkataraman,Lauren O'Donnell,Eleftheria Panagiotaki
Publisher : Springer Science & Business Media
Page : 255 pages
File Size : 50,9 Mb
Release : 2014-01-13
Category : Computers
ISBN : 9783319024752

Get Book

Computational Diffusion MRI and Brain Connectivity by Thomas Schultz,Gemma Nedjati-Gilani,Archana Venkataraman,Lauren O'Donnell,Eleftheria Panagiotaki Pdf

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.

Computational Diffusion MRI

Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert
Computational Diffusion MRI Book PDF

Author : Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert
Publisher : Springer
Page : 234 pages
File Size : 41,6 Mb
Release : 2016-04-08
Category : Mathematics
ISBN : 9783319285887

Get Book

Computational Diffusion MRI by Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert Pdf

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 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 of diffusion MRI and to its widespread transfer into clinical practice. New processing methods are essential for addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference. This volume, which includes both careful mathematical derivations and a wealth of rich, full-color visualizations and biologically or clinically relevant results, offers a valuable starting point for anyone interested in learning about computational diffusion MRI and mathematical methods for mapping brain connectivity, as well as new perspectives and insights on current research challenges for those currently working in the field. It will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.​

Computational Diffusion MRI

Lauren O'Donnell,Gemma Nedjati-Gilani,Yogesh Rathi,Marco Reisert,Torben Schneider
Computational Diffusion MRI Book PDF

Author : Lauren O'Donnell,Gemma Nedjati-Gilani,Yogesh Rathi,Marco Reisert,Torben Schneider
Publisher : Springer
Page : 216 pages
File Size : 42,9 Mb
Release : 2015-02-17
Category : Mathematics
ISBN : 9783319111827

Get Book

Computational Diffusion MRI by Lauren O'Donnell,Gemma Nedjati-Gilani,Yogesh Rathi,Marco Reisert,Torben Schneider Pdf

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.

Computational Diffusion MRI

Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert
Computational Diffusion MRI Book PDF

Author : Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert
Publisher : Springer
Page : 212 pages
File Size : 51,8 Mb
Release : 2017-05-11
Category : Mathematics
ISBN : 9783319541303

Get Book

Computational Diffusion MRI by Andrea Fuster,Aurobrata Ghosh,Enrico Kaden,Yogesh Rathi,Marco Reisert Pdf

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 of diffusion MRI and to its widespread transfer into the clinic, while new processing methods are essential to addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference. These papers from the 2016 MICCAI Workshop “Computational Diffusion MRI” – which was intended to provide a snapshot of the latest developments within the highly active and growing field of diffusion MR – cover 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. The contributions include rigorous mathematical derivations, a wealth of rich, full-color visualizations, and biologically or clinically relevant results. As such, they will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.

Computational Diffusion MRI

Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Noemi Gyori,Vishwesh Nath,Tomasz Pieciak
Computational Diffusion MRI Book PDF

Author : Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Noemi Gyori,Vishwesh Nath,Tomasz Pieciak
Publisher : Springer Nature
Page : 174 pages
File Size : 53,6 Mb
Release : 2021-09-25
Category : Computers
ISBN : 9783030876159

Get Book

Computational Diffusion MRI by Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Noemi Gyori,Vishwesh Nath,Tomasz Pieciak Pdf

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021. The papers were organized in topical sections as follows: acquisition; microstructure modelling; tractography and connectivity; applications and visualization; DiSCo challenge – invited contribution.

Computational Diffusion MRI

Enrico Kaden,Francesco Grussu,Lipeng Ning,Chantal M. W. Tax,Jelle Veraart
Computational Diffusion MRI Book PDF

Author : Enrico Kaden,Francesco Grussu,Lipeng Ning,Chantal M. W. Tax,Jelle Veraart
Publisher : Springer
Page : 245 pages
File Size : 45,6 Mb
Release : 2018-04-02
Category : Mathematics
ISBN : 9783319738390

Get Book

Computational Diffusion MRI by Enrico Kaden,Francesco Grussu,Lipeng Ning,Chantal M. W. Tax,Jelle Veraart Pdf

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.

Computational Diffusion MRI

Elisenda Bonet-Carne,Francesco Grussu,Lipeng Ning,Farshid Sepehrband,Chantal M. W. Tax
Computational Diffusion MRI Book PDF

Author : Elisenda Bonet-Carne,Francesco Grussu,Lipeng Ning,Farshid Sepehrband,Chantal M. W. Tax
Publisher : Springer
Page : 390 pages
File Size : 43,6 Mb
Release : 2019-05-17
Category : Mathematics
ISBN : 9783030058319

Get Book

Computational Diffusion MRI by Elisenda Bonet-Carne,Francesco Grussu,Lipeng Ning,Farshid Sepehrband,Chantal M. W. Tax Pdf

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 techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. The book 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 techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of 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 alike.

Computational Diffusion MRI

Noemi Gyori,Jana Hutter,Vishwesh Nath,Marco Palombo,Marco Pizzolato,Fan Zhang
Computational Diffusion MRI Book PDF

Author : Noemi Gyori,Jana Hutter,Vishwesh Nath,Marco Palombo,Marco Pizzolato,Fan Zhang
Publisher : Springer Nature
Page : 301 pages
File Size : 45,6 Mb
Release : 2021-09-29
Category : Mathematics
ISBN : 9783030730185

Get Book

Computational Diffusion MRI by Noemi Gyori,Jana Hutter,Vishwesh Nath,Marco Palombo,Marco Pizzolato,Fan Zhang Pdf

This book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), which took place virtually on October 8th, 2020, having originally been planned to take place in Lima, Peru. This book presents the latest developments in the highly active and rapidly growing field of diffusion MRI. While offering new perspectives on the most recent research challenges in the field, the selected articles also provide a valuable starting point for anyone interested in learning computational techniques for diffusion MRI. The book includes rigorous mathematical derivations, a large number of rich, full-colour visualizations, and clinically relevant results. As such, it is of interest to researchers and practitioners in the fields of computer science, MRI physics, and applied mathematics. 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 diffusion-relaxometry and frontline applications in research and clinical practice.

Computational Diffusion MRI

Elisenda Bonet-Carne,Jana Hutter,Marco Palombo,Marco Pizzolato,Farshid Sepehrband,Fan Zhang
Computational Diffusion MRI Book PDF

Author : Elisenda Bonet-Carne,Jana Hutter,Marco Palombo,Marco Pizzolato,Farshid Sepehrband,Fan Zhang
Publisher : Springer
Page : 203 pages
File Size : 55,9 Mb
Release : 2020-12-31
Category : Mathematics
ISBN : 3030528928

Get Book

Computational Diffusion MRI by Elisenda Bonet-Carne,Jana Hutter,Marco Palombo,Marco Pizzolato,Farshid Sepehrband,Fan Zhang Pdf

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 about computational techniques in diffusion MRI. The book includes rigorous mathematical derivations, a wealth of rich, full-colour visualisations and extensive 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. Readers will find 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 diffusion-relaxometry and frontline applications in research and clinical practice. This edition includes invited works from high-profile researchers with a specific focus on three new and important topics that are gaining momentum within the diffusion MRI community, including diffusion MRI signal acquisition and processing strategies, machine learning for diffusion MRI, and diffusion MRI outside the brain and clinical applications.

Visualization and Processing of Tensor Fields

Joachim Weickert,Hans Hagen
Visualization and Processing of Tensor Fields Book PDF

Author : Joachim Weickert,Hans Hagen
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 48,9 Mb
Release : 2007-06-25
Category : Mathematics
ISBN : 9783540312727

Get Book

Visualization and Processing of Tensor Fields by Joachim Weickert,Hans Hagen Pdf

Matrix-valued data sets – so-called second order tensor fields – have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state of the art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of original work by leading experts that has not been published before. It serves as an overview for the inquiring scientist, as a basic foundation for developers and practitioners, and as as a textbook for specialized classes and seminars for graduate and doctoral students.

Computational Diffusion MRI

Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Tomasz Pieciak,Elizabeth Powell,Francois Rheault
Computational Diffusion MRI Book PDF

Author : Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Tomasz Pieciak,Elizabeth Powell,Francois Rheault
Publisher : Springer Nature
Page : 156 pages
File Size : 48,8 Mb
Release : 2022-12-01
Category : Computers
ISBN : 9783031212062

Get Book

Computational Diffusion MRI by Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Tomasz Pieciak,Elizabeth Powell,Francois Rheault Pdf

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2022, which was held 22 September 2022, in conjunction with MICCAI 2022. The 12 full papers included were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: Data processing, Signal representations, Tractography and WM pathways.

Connectomics

Brent C. Munsell,Guorong Wu,Leonardo Bonilha,Paul Laurienti
Connectomics Book PDF

Author : Brent C. Munsell,Guorong Wu,Leonardo Bonilha,Paul Laurienti
Publisher : Academic Press
Page : 233 pages
File Size : 50,5 Mb
Release : 2018-09-08
Category : Computers
ISBN : 9780128138397

Get Book

Connectomics by Brent C. Munsell,Guorong Wu,Leonardo Bonilha,Paul Laurienti Pdf

Connectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer’s, epilepsy, stroke, autism, Parkinson’s, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment. With this book the reader will learn: Basic mathematical principles underlying connectomics How connectomics is applied to a wide range of neuro-applications What is the future direction of connectomics techniques. This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods. Features: Combines connectomics methods with relevant and interesting neuro-applications Covers most of the hot topics in neuroscience and clinical areas Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics Combines connectomics methods with relevant and interesting neuro-applications Presents information that will appeal to researchers in a wide range of disciplines, including computer science, engineering, data science, mathematics, computational physics, computational neuroscience, and more Includes a mathematics primer that formulates connectomics from an applied point-of-view, thus avoiding difficult to understand theoretical perspective Lists publicly available neuro-imaging datasets that can be used to construct structural and functional connectomes

Diffusion MRI

Derek K Jones
Diffusion MRI Book PDF

Author : Derek K Jones
Publisher : Oxford University Press
Page : 784 pages
File Size : 46,6 Mb
Release : 2010-11-11
Category : Science
ISBN : 9780199708703

Get Book

Diffusion MRI by Derek K Jones Pdf

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

Derek K. Jones, PhD
Diffusion MRI Book PDF

Author : Derek K. Jones, PhD
Publisher : OUP USA
Page : 624 pages
File Size : 41,8 Mb
Release : 2011-01-27
Category : Science
ISBN : 0195369777

Get Book

Diffusion MRI by Derek K. Jones, PhD Pdf

Diffusion MRI: Theory, Methods and Applications is a richly illustrated book covering all aspects of diffusion MRI from basic theory to clinical application. The authorship list reads like a 'who's who' of the field and the result is a definitive, didactic and essential reference for those working with diffusion MRI.

Anisotropy Across Fields and Scales

Evren Özarslan,Thomas Schultz,Eugene Zhang,Andrea Fuster
Anisotropy Across Fields and Scales Book PDF

Author : Evren Özarslan,Thomas Schultz,Eugene Zhang,Andrea Fuster
Publisher : Springer Nature
Page : 284 pages
File Size : 46,9 Mb
Release : 2021
Category : Algebra
ISBN : 9783030562151

Get Book

Anisotropy Across Fields and Scales by Evren Özarslan,Thomas Schultz,Eugene Zhang,Andrea Fuster Pdf

This open access book focuses on processing, modeling, and visualization of anisotropy information, which are often addressed by employing sophisticated mathematical constructs such as tensors and other higher-order descriptors. It also discusses adaptations of such constructs to problems encountered in seemingly dissimilar areas of medical imaging, physical sciences, and engineering. Featuring original research contributions as well as insightful reviews for scientists interested in handling anisotropy information, it covers topics such as pertinent geometric and algebraic properties of tensors and tensor fields, challenges faced in processing and visualizing different types of data, statistical techniques for data processing, and specific applications like mapping white-matter fiber tracts in the brain. The book helps readers grasp the current challenges in the field and provides information on the techniques devised to address them. Further, it facilitates the transfer of knowledge between different disciplines in order to advance the research frontiers in these areas. This multidisciplinary book presents, in part, the outcomes of the seventh in a series of Dagstuhl seminars devoted to visualization and processing of tensor fields and higher-order descriptors, which was held in Dagstuhl, Germany, on October 28-November 2, 2018.