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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...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2018
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-73839-0 http://cds.cern.ch/record/2311315 |
_version_ | 1780957882340081664 |
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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. |
id | cern-2311315 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
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 |