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Herausgeber: 
  • Yogesh Rathi
  • Marco Reisert
  • Andrea Fuster
  • Aurobrata Ghosh
  • Enrico Kaden
  • Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 4-7 Tagen versandfertig
    Veröffentlichung:  April 2016  
    Genre:  Schulbücher 
    ISBN:  9783319285863 
    EAN-Code: 
    9783319285863 
    Verlag:  Springer-Verlag GmbH 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Mathematics and Visualization  
    Dimensionen:  H 244 mm / B 162 mm / D 17 mm 
    Gewicht:  554 gr 
    Seiten:  234 
    Illustration:  Bibliographie 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    These Proceedings of the 2015 MICCAI Workshop "Computational Diffusion MRI" offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice.

    Over the last decade interest in diffusion MRI has exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into clinical practice. New processing methods are essential for addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference.

    This volume, which includes both careful mathematical derivations and a wealth of rich, full-color visualizations and biologically or clinically relevant results, offers a valuable starting point for anyone interested in learning about computational diffusion MRI and mathematical methods for mapping brain connectivity, as well as new perspectives and insights on current research challenges for those currently working in the field. It will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.┐

      
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