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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV046975031
    Format: 1 Online-Ressource (XVII, 100 Seiten)
    Edition: 1st ed. 2021
    ISBN: 9783030611576
    Series Statement: Reports on Computational Physiology 7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-61156-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-61158-3
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    b3kat_BV047875781
    Format: 1 Online-Ressource
    ISBN: 9783030951368
    Series Statement: Simula SpringerBriefs on computing volume 10
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-030-95135-1
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    gbv_1798258641
    Format: 1 online resource (129 pages)
    ISBN: 9783030951368
    Series Statement: Simula SpringerBriefs on Computing Ser. v.10
    Content: Intro -- Series Foreword -- Foreword -- Preface -- Contents -- Chapter 1 Introduction -- 1.1 A model problem -- 1.2 On reading this book -- 1.3 Datasets and scripts -- 1.4 Other software -- 1.5 Book outline -- Chapter 2 Working with magnetic resonance images of the brain -- 2.1 Human brain anatomy -- 2.2 Magnetic resonance imaging -- 2.2.1 Structural MRI: T1- and T2-weighted images -- 2.2.2 Diffusion-weighted imaging and diffusion tensor imaging -- 2.3 Viewing and working with MRI datasets -- 2.3.1 The DICOM file format -- 2.3.2 Working with the contents of an MRI dataset -- 2.4 From images to simulation: A software ecosystem -- 2.4.1 FreeSurfer for MRI processing and segmentation -- 2.4.2 NiBabel: A python tool for MRI data -- 2.4.3 SVM-Tk for volume mesh generation -- 2.4.4 The FEniCS Project for finite element simulation -- 2.4.5 ParaView and other visualization tools -- 2.4.6 Meshio for data and mesh conversion -- 2.4.7 Testing the software pipeline -- Chapter 3 Getting started: from T1 images to simulation -- 3.1 Generating a volume mesh from T1-weighted MRI -- 3.1.1 Extracting a single series from an MRI dataset -- 3.1.2 Creating surfaces from T1-weighted MRI -- 3.1.3 Creating a volume mesh from a surface -- 3.2 Improved volume meshing by surface preprocessing -- 3.2.1 Remeshing a surface -- 3.2.2 Smoothing a surface file -- 3.2.3 Preventing surface intersections and missing facets -- 3.3 Simulation of diffusion into the brain hemisphere -- 3.3.1 Research question and model formulation -- 3.3.2 Numerical solution of the diffusion equation -- 3.3.3 Implementation using FEniCS -- 3.3.4 Visualization of solution fields -- 3.4 Advanced topics for working with larger cohorts -- 3.4.1 Scripting the extraction of MRI series -- 3.4.2 More about FreeSurfer's recon-all -- Chapter 4 Introducing heterogeneities.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: ISBN 9783030951351
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030951351
    Language: English
    Keywords: Electronic books. ; Electronic books.
    URL: FULL  ((Currently Only Available on Campus))
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  • 4
    UID:
    gbv_1832355128
    Format: 1 Online-Ressource (118 p.)
    ISBN: 9783030951368
    Series Statement: Simula SpringerBriefs on Computing
    Content: 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
    Note: English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Springer Nature
    UID:
    gbv_1778426077
    Format: 1 Online-Ressource (100 p.)
    ISBN: 9783030611576
    Series Statement: Simula SpringerBriefs on Computing; Reports on Computational Physiology
    Content: This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells
    Note: English
    Language: English
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  • 6
    UID:
    gbv_178543778X
    Format: 1 online resource (116 pages)
    ISBN: 9783030611576
    Series Statement: Simula SpringerBriefs on Computing Ser. v.7
    Content: Intro -- Preface -- References -- List of Contributors -- Contents -- Chapter 1 Derivation of a Cell-Based Mathematical Model of Excitable Cells -- 1.1 Introduction -- 1.2 Derivation of the EMI Model -- 1.2.1 Fundamental Equations -- 1.2.2 Model for the Intracellular and Extracellular Domains -- 1.2.3 Model for the Membrane -- 1.2.3.1 Ionic Current -- 1.2.3.2 Capacitive Current -- 1.2.3.3 Collecting the Ionic and Capacitive Currents -- 1.2.4 Model for the Intercalated Disc -- 1.2.5 Models of the Ionic Currents -- 1.2.6 Summary of the Model Equations -- 1.3 Conclusion -- References -- Chapter 2 A Cell-Based Model for Ionic Electrodiffusion in Excitable Tissue -- 2.1 Introduction and Motivation -- 2.2 Derivation of the Equations -- 2.2.1 Equations in the Intracellular and Extracellular Volumes -- 2.2.2 Membrane Currents -- 2.2.2.1 Modelling Specific Ion Channels -- 2.2.3 Summary of KNP-EMI Equations -- 2.3 Numerical Solution of the KNP-EMI Equations -- 2.4 Comparing KNP-EMI and EMI during Neuronal Hyperactivity -- 2.4.1 Model Parameters and Membrane Mechanisms -- 2.4.2 Results and Discussion -- 2.5 Conclusions and Outlook -- References -- Chapter 3 Modeling Cardiac Mechanics on a Sub-Cellular Scale -- 3.1 Introduction -- 3.2 Models and Methods -- 3.2.1 Fundamental Equations -- 3.2.2 Specific Model Choices -- 3.2.3 Numerical Methods -- 3.3 Results -- 3.4 Discussion -- References -- Chapter 4 Operator Splitting and Finite Difference Schemes for Solving the EMI Model -- 4.1 Introduction -- 4.2 The EMI Model -- 4.2.1 Operator Splitting Applied to the EMI Model -- 4.3 Simulating the Effect of a Region of Ischemic Cells -- 4.4 A Scalable Implementation of the Splitting Scheme -- 4.4.1 The Linear System for the Intracellular Potential -- 4.4.2 The Linear System for the Extracellular Potential -- 4.4.3 The Non-Linear ODE System for the Membrane Potential.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: ISBN 9783030611569
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030611569
    Language: English
    Keywords: Electronic books.
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  • 7
    UID:
    gbv_1794151281
    Format: 1 Online-Ressource(XVI, 118 p. 32 illus., 25 illus. in color.)
    Edition: 1st ed. 2022.
    ISBN: 9783030951368
    Series Statement: Simula SpringerBriefs on Computing 10
    Content: 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.
    Content: 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.
    Note: Open Access
    Additional Edition: ISBN 9783030951351
    Additional Edition: ISBN 9783030951375
    Additional Edition: Erscheint auch als Druck-Ausgabe Mardal, Kent-Andre Mathematical modeling of the human brain Cham, Switzerland : Springer Nature, 2022 ISBN 9783030951351
    Language: English
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