Mathematical Modeling of the Human Brain

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Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

This open access book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs. The connection between these areas is established through the use of two existing tools, FreeSurfer and FEniCS, and one novel tool, the SVM-Tk, developed for this book. The reader will learn the basics of magnetic resonance imaging and quickly proceed to generating their first FEniCS brain meshes from T1-weighted images. The book's presentation concludes with the reader solving a simplified PDE model of gadobutrol diffusion in the brain that incorporates diffusion tensor images, of various resolution, and complex, multi-domain, variable-resolution FEniCS meshes with detailed markings of anatomical brain regions. After completing this book, the reader will have a solid foundation for performing patient-specific finite element simulations of biomechanical models of the human brain.



This book is open access, which means that you have free and unlimited access Includes a step-by-step guide to constructing anatomical finite element brain meshes

Inhalt
Introduction.- Working with magnetic resonance images of the brain.- From T1 images to numerical simulation.- Introducing heterogeneities.- Introducing directionality with diffusion tensors.- Simulating anisotropic diffusion in heterogeneous brain regions.- Concluding remarks and outlook.- References.- Index.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030951351
    • Lesemotiv Verstehen
    • Genre Maths
    • Auflage 1st edition 2022
    • Anzahl Seiten 136
    • Herausgeber Springer International Publishing
    • Größe H235mm x B155mm x T8mm
    • Jahr 2022
    • EAN 9783030951351
    • Format Kartonierter Einband
    • ISBN 3030951359
    • Veröffentlichung 26.02.2022
    • Titel Mathematical Modeling of the Human Brain
    • Autor Kent-André Mardal , Lars Magnus Valnes , Travis B. Thompson , Marie E. Rognes
    • Untertitel From Magnetic Resonance Images to Finite Element Simulation
    • Gewicht 219g
    • Sprache Englisch

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