Computational Diffusion MRI

Noemi Gyori; Jana  Hutter; Vishwesh Nath; Marco  Palombo; Marco Pizzolato

doi:10.1007/978-3-030-73018-5

Computational Diffusion MRI

Noemi Gyori (Editor), Jana Hutter (Editor), Vishwesh Nath (Editor), Marco Palombo (Editor), Marco Pizzolato (Editor)

Research output: Book/Report › Book › Research › peer-review

Abstract

Presents the latest developments in the highly active and rapidly growing field of diffusion MRI Covers a broad range of topics, from the mathematical foundations of the diffusion process and signal acquisition, 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.

Original language	English

Publisher	Springer
Number of pages	304
ISBN (Print)	978-3-030-73017-8
DOIs	https://doi.org/10.1007/978-3-030-73018-5
Publication status	Published - 2021
Event	MICCAI 2020 International Workshop on Computational Diffusion MRI - Lima, Peru Duration: 8 Oct 2020 → 8 Oct 2020 http://cmic.cs.ucl.ac.uk/cdmri20/

Series	Mathematics and Visualization
ISSN	1612-3786

Workshop

Workshop	MICCAI 2020 International Workshop on Computational Diffusion MRI
Country/Territory	Peru
City	Lima
Period	08/10/2020 → 08/10/2020
Internet address	http://cmic.cs.ucl.ac.uk/cdmri20/

Keywords

Diffusion MRI
Multidimensional diffusion MRI
Combined diffusion-relaxometry MRI
Computational techniques
Medical image computing
Medical image analysis
Medical visualisation
Image and signal acquisition
Image registration
Image reconstruction
Image analysis
Image and signal processing
Image and signal modelling
Machine learning
Brain MRI
Neuroimaging
Connectomics
Fibre tractography
Body MRI
Microstructure imaging

Access to Document

10.1007/978-3-030-73018-5

OpenUrl availability

Full text

Super-resolution of Multi Dimensional Diffusion MRI data Challenge 2020
Pizzolato, M. (Organizer), Palombo, M. (Organizer), Hutter, J. (Organizer), Gyori, N. (Organizer), Zhang, F. (Organizer) & Nath, V. (Organizer)
8 Oct 2020
Activity: Attending an event › Participating in or organising workshops, courses, seminars etc.

Cite this

@book{b3ba638ad9774d00b4da4fce2572a48d,

title = "Computational Diffusion MRI",

abstract = "Presents the latest developments in the highly active and rapidly growing field of diffusion MRI Covers a broad range of topics, from the mathematical foundations of the diffusion process and signal acquisition, 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.",

keywords = "Diffusion MRI, Multidimensional diffusion MRI, Combined diffusion-relaxometry MRI, Computational techniques, Medical image computing, Medical image analysis, Medical visualisation, Image and signal acquisition, Image registration, Image reconstruction, Image analysis, Image and signal processing, Image and signal modelling, Machine learning, Brain MRI, Neuroimaging, Connectomics, Fibre tractography, Body MRI, Microstructure imaging",

editor = "Noemi Gyori and Jana Hutter and Vishwesh Nath and Marco Palombo and Marco Pizzolato",

year = "2021",

doi = "10.1007/978-3-030-73018-5",

language = "English",

isbn = "978-3-030-73017-8",

series = "Mathematics and Visualization",

publisher = "Springer",

note = "MICCAI 2020 International Workshop on Computational Diffusion MRI, CDMRI'20 ; Conference date: 08-10-2020 Through 08-10-2020",

url = "http://cmic.cs.ucl.ac.uk/cdmri20/",

}

TY - BOOK

T1 - Computational Diffusion MRI

A2 - Gyori, Noemi

A2 - Hutter, Jana

A2 - Nath, Vishwesh

A2 - Palombo, Marco

A2 - Pizzolato, Marco

PY - 2021

Y1 - 2021

N2 - Presents the latest developments in the highly active and rapidly growing field of diffusion MRI Covers a broad range of topics, from the mathematical foundations of the diffusion process and signal acquisition, 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.

AB - Presents the latest developments in the highly active and rapidly growing field of diffusion MRI Covers a broad range of topics, from the mathematical foundations of the diffusion process and signal acquisition, 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.

KW - Diffusion MRI

KW - Multidimensional diffusion MRI

KW - Combined diffusion-relaxometry MRI

KW - Computational techniques

KW - Medical image computing

KW - Medical image analysis

KW - Medical visualisation

KW - Image and signal acquisition

KW - Image registration

KW - Image reconstruction

KW - Image analysis

KW - Image and signal processing

KW - Image and signal modelling

KW - Machine learning

KW - Brain MRI

KW - Neuroimaging

KW - Connectomics

KW - Fibre tractography

KW - Body MRI

KW - Microstructure imaging

U2 - 10.1007/978-3-030-73018-5

DO - 10.1007/978-3-030-73018-5

M3 - Book

SN - 978-3-030-73017-8

T3 - Mathematics and Visualization

BT - Computational Diffusion MRI

PB - Springer

T2 - MICCAI 2020 International Workshop on Computational Diffusion MRI

Y2 - 8 October 2020 through 8 October 2020

ER -

Computational Diffusion MRI

Abstract

Workshop

Keywords

Access to Document

OpenUrl availability

Fingerprint

Activities

Super-resolution of Multi Dimensional Diffusion MRI data Challenge 2020

Cite this