Mathematical modeling of the human brain : from magnetic resonance images to finite element simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes.
2022
RC386.6.M34
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Title
Mathematical modeling of the human brain : from magnetic resonance images to finite element simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes.
Author
ISBN
9783030951368 (electronic bk.)
3030951367 (electronic bk.)
9783030951351 (print)
3030951359
3030951367 (electronic bk.)
9783030951351 (print)
3030951359
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (xvi, 118 pages) : illustrations (some color).
Item Number
10.1007/978-3-030-95136-8 doi
Call Number
RC386.6.M34
Dewey Decimal Classification
616.8/047548
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Open access.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 3, 2022).
Series
Simula SpringerBriefs on computing ; v. 10.
Available in Other Form
Print version: 9783030951351
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Table of Contents
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.
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.