9783030951351-3030951359-Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation (Simula SpringerBriefs on Computing)

Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation (Simula SpringerBriefs on Computing)

ISBN-13: 9783030951351
ISBN-10: 3030951359
Edition: 1st ed. 2022
Author: Kent-Andre Mardal
Publication date: 2022
Publisher: Springer
Format: Paperback 136 pages
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Book details

ISBN-13: 9783030951351
ISBN-10: 3030951359
Edition: 1st ed. 2022
Author: Kent-Andre Mardal
Publication date: 2022
Publisher: Springer
Format: Paperback 136 pages

Summary

Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation (Simula SpringerBriefs on Computing) (ISBN-13: 9783030951351 and ISBN-10: 3030951359), written by authors Kent-Andre Mardal, was published by Springer in 2022. With an overall rating of 4.1 stars, it's a notable title among other Bioinformatics (Biological Sciences, Applied, Mathematics, Technology, Physiology, Basic Medical Sciences) books. You can easily purchase or rent Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation (Simula SpringerBriefs on Computing) (Paperback) from BooksRun, along with many other new and used Bioinformatics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
From the Back Cover
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.

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