Diffusion Anisotropy Identification by Short Diffusion-Diffusion Correlation Spectroscopy
Water diffusion is generally anisotropic in porous media, giving the opportunity to access the microstructure of a substance. Two-dimensional (2D) Diffusion-Diffusion COrrelation SpectroscopY (DDCOSY), which is one kind of multi-dimensional diffusometry (
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Elisenda Bonet-Carne · Jana Hutter · Marco Palombo · Marco Pizzolato · Farshid Sepehrband · Fan Zhang Editors
Computational Diffusion MRI MICCAI Workshop, Shenzhen, China, October 2019
Mathematics and Visualization Series Editors Hans-Christian Hege, Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB), Berlin, Germany David Hoffman, Department of Mathematics, Stanford University, Stanford, CA, USA Christopher R. Johnson, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA Konrad Polthier, AG Mathematical Geometry Processing, Freie Universität Berlin, Berlin, Germany
The series Mathematics and Visualization is intended to further the fruitful relationship between mathematics and visualization. It covers applications of visualization techniques in mathematics, as well as mathematical theory and methods that are used for visualization. In particular, it emphasizes visualization in geometry, topology, and dynamical systems; geometric algorithms; visualization algorithms; visualization environments; computer aided geometric design; computational geometry; image processing; information visualization; and scientific visualization. Three types of books will appear in the series: research monographs, graduate textbooks, and conference proceedings.
More information about this series at http://www.springer.com/series/4562
Elisenda Bonet-Carne Jana Hutter Marco Palombo Marco Pizzolato Farshid Sepehrband Fan Zhang •
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Computational Diffusion MRI MICCAI Workshop, Shenzhen, China, October 2019
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Editors Elisenda Bonet-Carne Centre for Medical Imaging and Centre for Medical Image Computing University College London London, UK BCNatal Fetal Medicine Research Center Barcelona, Spain Marco Palombo Centre for Medical Image Computing University College London London, UK Farshid Sepehrband Laboratory of Neuro Imaging (LONI) University of Southern California Los Angeles, CA, USA
Jana Hutter Centre for Medical Engineering King’s College London London, UK Marco Pizzolato Signal Processing Laboratory (LTS5) École Polytechnique Fédérale de Lausanne Lausanne, Switzerland Fan Zhang Laboratory of Mathematics in Imaging Harvard Medical School Boston, MA, USA
ISSN 1612-3786 ISSN 2197-666X (electronic) Mathematics and Visualization ISBN 978-3-030-52892-8 ISBN 978-3-030-52893-5 (eBook) https://doi.org/10.1007/978-3-030-52893-5 Mathematics Subject Classification: 00B25, 00A66, 00A72, 42B35, 60J60, 60J65, 62P10, 65CXX, 65DXX, 65Z05, 68R10, 68T99, 92BXX © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, t
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