Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017. 1st ed. 2018

種類:

電子ブック

責任表示:

edited by Enrico Kaden, Francesco Grussu, Lipeng Ning, Chantal M. W. Tax, Jelle Veraart

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

Kaden, Enrico.

Grussu, Francesco.

Ning, Lipeng.

Tax, Chantal M. W.

Veraart, Jelle.

SpringerLink (Online service)

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シリーズ名:

Mathematics and Visualization ;

ISBN:

9783319738390 [3319738399]    

注記:

Part I Data Acquisition and Modeling: Estimating Tissue Microstructure using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites by Marco Palombo -- (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior by Evan Schwab et al -- Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model by Patryk Filipiak et al -- A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation by Mauro Zucchelli et al -- Part II Image Postprocessing: Diffusion Specific Segmentation: Skull Stripping with Diffusion MRIData Alone by Robert I. Reid et al -- Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree by K´evin Ginsburger et al -- Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis by Laurent Chauvin et al -- Part III Tractography and Connectivity: Learning a Single Step of Streamline Tractography Based on Neural
This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering 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 frontline applications in neuroscience research and clinical practice. These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI’17) held in Québec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will b

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