Ebook: Image-Based Geometric Modeling and Mesh Generation

As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

Content:
Front Matter....Pages I-XI
Challenges and Advances in Image-Based Geometric Modeling and Mesh Generation....Pages 1-10
3D Surface Realignment Tracking for Medical Imaging: A Phantom Study with PET Motion Correction....Pages 11-19
Flexible Multi-scale Image Alignment Using B-Spline Reparametrization....Pages 21-53
Shape Based Conditional Random Fields for Segmenting Intracranial Aneurysms....Pages 55-67
Tetrahedral Image-to-Mesh Conversion Approaches for Surgery Simulation and Navigation....Pages 69-84
Surface Triangular Mesh and Volume Tetrahedral Mesh Generations for Biomolecular Modeling....Pages 85-106
A Combined Level Set/Mesh Warping Algorithm for Tracking Brain and Cerebrospinal Fluid Evolution in Hydrocephalic Patients....Pages 107-141
An Optimization-Based Iterative Approach to Tetrahedral Mesh Smoothing....Pages 143-157
High-Quality Multi-tissue Mesh Generation for Finite Element Analysis....Pages 159-169
Construction of Models and Meshes of Heterogeneous Material Microstructures from Image Data....Pages 171-193
Quality Improvement of Segmented Hexahedral Meshes Using Geometric Flows....Pages 195-221
Patient-Specific Model Generation and Simulation for Pre-operative Surgical Guidance for Pulmonary Embolism Treatment....Pages 223-249
Computational Techniques for Analysis of Shape and Kinematics of Biological Structures....Pages 251-269
Finite Element Modeling of Biomolecular Systems in Ionic Solution....Pages 271-301

As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

Content:
Front Matter....Pages I-XI
Challenges and Advances in Image-Based Geometric Modeling and Mesh Generation....Pages 1-10
3D Surface Realignment Tracking for Medical Imaging: A Phantom Study with PET Motion Correction....Pages 11-19
Flexible Multi-scale Image Alignment Using B-Spline Reparametrization....Pages 21-53
Shape Based Conditional Random Fields for Segmenting Intracranial Aneurysms....Pages 55-67
Tetrahedral Image-to-Mesh Conversion Approaches for Surgery Simulation and Navigation....Pages 69-84
Surface Triangular Mesh and Volume Tetrahedral Mesh Generations for Biomolecular Modeling....Pages 85-106
A Combined Level Set/Mesh Warping Algorithm for Tracking Brain and Cerebrospinal Fluid Evolution in Hydrocephalic Patients....Pages 107-141
An Optimization-Based Iterative Approach to Tetrahedral Mesh Smoothing....Pages 143-157
High-Quality Multi-tissue Mesh Generation for Finite Element Analysis....Pages 159-169
Construction of Models and Meshes of Heterogeneous Material Microstructures from Image Data....Pages 171-193
Quality Improvement of Segmented Hexahedral Meshes Using Geometric Flows....Pages 195-221
Patient-Specific Model Generation and Simulation for Pre-operative Surgical Guidance for Pulmonary Embolism Treatment....Pages 223-249
Computational Techniques for Analysis of Shape and Kinematics of Biological Structures....Pages 251-269
Finite Element Modeling of Biomolecular Systems in Ionic Solution....Pages 271-301
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