Computational Diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018. 1st ed. 2019

種類:

電子ブック

責任表示:

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

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2019

著者名:

Bonet-Carne, Elisenda.

Grussu, Francesco.

Ning, Lipeng.

Sepehrband, Farshid.

Tax, Chantal M. W.

SpringerLink (Online service)

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シリーズ名:

Mathematics and Visualization ;

ISBN:

9783030058319 [303005831X]    

注記:

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.
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

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