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Mathematical modeling of the human brainfrom magnetic resonance images to finite element simulation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical modeling of the human brainby Kent-Andre Mardal ... [et al.].
Reminder of title:	from magnetic resonance images to finite element simulation /
other author:	Mardal, Kent-Andre.
Published:	Cham :Springer International Publishing :2022.
Description:	xvi, 118 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BrainMagnetic resonance imaging
Online resource:	https://doi.org/10.1007/978-3-030-95136-8
ISBN:	9783030951368$q(electronic bk.)

Mathematical modeling of the human brainfrom magnetic resonance images to finite element simulation /
Mathematical modeling of the human brainfrom magnetic resonance images to finite element simulation /[electronic resource] :by Kent-Andre Mardal ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 118 p. :ill. (some col.), digital ;24 cm. - Simula springerBriefs on computing,v. 102512-1685 ;. - Simula springerBriefs on computing ;v. 10..

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.

Open access.

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.

ISBN: 9783030951368$q(electronic bk.)

Standard No.: 10.1007/978-3-030-95136-8doiSubjects--Topical Terms:

925283
Brain
--Magnetic resonance imaging

LC Class. No.: RC386.6.M34

Dewey Class. No.: 616.8047548

Mathematical modeling of the human brainfrom magnetic resonance images to finite element simulation /
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506 $a Open access.
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