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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