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            Mathematical Modeling of the Human Brain

            From Magnetic Resonance Images to Finite Element Simulation

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            Author(s)
            Mardal, Kent-André
            Rognes, Marie E.
            Thompson, Travis B.
            Valnes, Lars Magnus
            Language
            English
            Show full item record
            Abstract
            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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/182506
            Keywords
            magnetic resonance imaging; Mesh generation; mathematical modeling; finite element methods; scientific computing; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists; thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis
            DOI
            10.1007/978-3-030-95136-8
            ISBN
            9783030951368
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2022
            Imprint
            Springer
            Series
            Simula SpringerBriefs on Computing,
            Pages
            118
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            Credits


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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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