Computational diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018 / Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax, editors.
Workshop on Computational Diffusion MRI (2018 : Granada, Spain); Bonet-Carne, Elisenda, editor.; Grussu, Francesco, editor.; Ning, Lipeng, editor.; Sepehrband, Farshid, editor.; Tax, Chantal M. W. editor.; International Conference on Medical Image Computing and Computer-Assisted Intervention (21st : 2018 : Granada, Spain), jointly held conference.
2019
RC78.7.N83 W67 2018
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Title Computational diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018 / Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax, editors.
Meeting Name Workshop on Computational Diffusion MRI (2018 : Granada, Spain)
ISBN 9783030058319 (electronic book)
303005831X (electronic book)
9783030058302
DOI https://doi.org/10.1007/978-3-030-05831-9
https://doi.org/10.1007/978-3-030-05
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource : illustrations
Item Number 10.1007/978-3-030-05831-9 doi
10.1007/978-3-030-05
Call Number RC78.7.N83 W67 2018
Dewey Decimal Classification 616.07/548
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on online resource; title from digital title page (viewed on June 20, 2019).
Added Author Bonet-Carne, Elisenda, editor.
Grussu, Francesco, editor.
Ning, Lipeng, editor.
Sepehrband, Farshid, editor.
Tax, Chantal M. W. editor.
Added Meeting Name International Conference on Medical Image Computing and Computer-Assisted Intervention (21st : 2018 : Granada, Spain), jointly held conference.
Series Mathematics and visualization.
Available in Other Form Print version: 9783030058302
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Part I Diffusion MRI signal acquisition and processing strategies
Part II Machine learning for diffusion MRI
Part III Diffusion MRI signal harmonisation
Part IV Diffusion MRI outside the brain and clinical applications
Part V Tractography and connectivity mapping
Index.

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