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Computational Diffusion MRI : MICCAI Workshop

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 a...

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Detalles Bibliográficos
Autores principales: Kaden, Enrico, Grussu, Francesco, Ning, Lipeng, Tax, Chantal, Veraart, Jelle
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-73839-0
http://cds.cern.ch/record/2311315
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author Kaden, Enrico
Grussu, Francesco
Ning, Lipeng
Tax, Chantal
Veraart, Jelle
author_facet Kaden, Enrico
Grussu, Francesco
Ning, Lipeng
Tax, Chantal
Veraart, Jelle
author_sort Kaden, Enrico
collection CERN
description 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.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Springer
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spelling cern-23113152021-04-22T06:34:42Zdoi:10.1007/978-3-319-73839-0http://cds.cern.ch/record/2311315engKaden, EnricoGrussu, FrancescoNing, LipengTax, ChantalVeraart, JelleComputational Diffusion MRI : MICCAI WorkshopMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:23113152018
spellingShingle Mathematical Physics and Mathematics
Kaden, Enrico
Grussu, Francesco
Ning, Lipeng
Tax, Chantal
Veraart, Jelle
Computational Diffusion MRI : MICCAI Workshop
title Computational Diffusion MRI : MICCAI Workshop
title_full Computational Diffusion MRI : MICCAI Workshop
title_fullStr Computational Diffusion MRI : MICCAI Workshop
title_full_unstemmed Computational Diffusion MRI : MICCAI Workshop
title_short Computational Diffusion MRI : MICCAI Workshop
title_sort computational diffusion mri : miccai workshop
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-73839-0
http://cds.cern.ch/record/2311315
work_keys_str_mv AT kadenenrico computationaldiffusionmrimiccaiworkshop
AT grussufrancesco computationaldiffusionmrimiccaiworkshop
AT ninglipeng computationaldiffusionmrimiccaiworkshop
AT taxchantal computationaldiffusionmrimiccaiworkshop
AT veraartjelle computationaldiffusionmrimiccaiworkshop