عنوان

Computational diffusion MRI :

(Number (ISBN

3030058301

(Number (ISBN

303005831X

(Number (ISBN

3030058328

(Number (ISBN

9783030058302

(Number (ISBN

9783030058319

(Number (ISBN

9783030058326

Erroneous ISBN

9783030058302

Title Proper

Computational diffusion MRI :

General Material Designation

[Book]

Other Title Information

International MICCAI Workshop, Granada, Spain, September 2018 /

First Statement of Responsibility

Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax, editors.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations (some color)

Series Title

Mathematics and visualization

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030058319

International Standard Book Number

9783030058302

International Standard Book Number

9783030058326

Diffusion magnetic resonance imaging, Congresses.

Diffusion magnetic resonance imaging.

HEALTH & FITNESS-- Diseases-- General.

MEDICAL-- Clinical Medicine.

MEDICAL-- Diseases.

MEDICAL-- Evidence-Based Medicine.

MEDICAL-- Internal Medicine.

HEA-- 039000

MED-- 014000

MED-- 022000

MED-- 045000

MED-- 112000

PDE

PDE

Number

Edition

Class number

Book number

Bonet-Carne, Elisenda

Grussu, Francesco

Ning, Lipeng

Sepehrband, Farshid

Tax, Chantal M. W.

Workshop on Computational Diffusion MRI(2018 :, Granada, Spain)

International Conference on Medical Image Computing and Computer-Assisted Intervention(21st :2018 :, Granada, Spain)

Date of Transaction

20200823081904.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y