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Image-Based Geometric Modeling and Mesh Generation

Kataloginformation Katalogdatensatz500176922 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
ISBN	978-94-007-4254-3
Name	Zhang, Yongjie
T I T E L	Image-Based Geometric Modeling and Mesh Generation
Verlagsort	Dordrecht
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XI, 301 p. 133 illus., 106 illus. in color, digital)
Reihe	Lecture Notes in Computational Vision and Biomechanics ; 3
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Image-Based Geometric Modeling and Mesh Generation; Preface; Contents; Contributors; Challenges and Advances in Image-Based Geometric Modeling and Mesh Generation; 1 Introduction; 2 Meshing Pipelines; 2.1 Meshing Pipelines Starting from Scanned Images; 2.2 Meshing Pipelines Starting from Geometry or PDB Data; 3 Piecewise-Linear Mesh Generation; Challenges; 4 High-Order Element Construction; Challenges; 5 Conclusion; References; 3D Surface Realignment Tracking for Medical Imaging: A Phantom Study with PET Motion Correction; 1 Introduction; 2 Experiments and Methods; 3 Results and Discussion. 4 Summary and ConclusionsReferences; Flexible Multi-scale Image Alignment Using B-Spline Reparametrization; 1 Introduction; 2 Methodology; Problem Description; 3 B-Spline Reparametrization by L2-Gradient Flow; 4 Numerical Solutions; 4.1 Spacial Discretization; 4.2 Temporal Discretization; Compute taul; 4.3 Calculation of Coefﬁcient Matrix of (10) and Its Inverse; 5 Alignment Based on Multi-resolution Representations; 5.1 Multi-resolution Representations; The Outputs of the Algorithm; 5.2 Gaussian Filter; 5.3 Least Square Approximations; 6 Regularity Analysis of Mapping x. 7 Existence and Uniqueness of x8 Existence and Uniqueness of ODE's Solution; Gronwall's Inequality (See [14]); 9 Experiments; Regularity of Mapping x; Boundary Conditions; Regularization Term Omega (g-1)2; The Choice of the N-Sequence; Image Sampling; 10 Conclusions; References; Shape Based Conditional Random Fields for Segmenting Intracranial Aneurysms; 1 Introduction; 2 Problem Formulation; 2.1 Conditional Random Fields; 3 Shape Descriptors; 3.1 Local Descriptors; 3.2 Regional Shape Descriptors; 3.2.1 Wilmore Energy; 3.2.2 Regional Attribute Weighted Geodesic Shape Contexts. Visibility from Reference Point4 Potential Speciﬁcation; 4.1 Strong Unary Potentials; Vessel Prior; Aneurysm Prior; 4.2 Weak Unary Potential; 4.3 Pairwise Potential; 5 Experiments; 6 Conclusions; References; Tetrahedral Image-to-Mesh Conversion Approaches for Surgery Simulation and Navigation; 1 Introduction; 2 Background; 2.1 Non-rigid Registration; 2.2 Image-to-Mesh Conversion; 3 Evaluation of Mesh Generation Techniques; 3.1 Mesh Fitness Criteria; 3.2 Mesh Generation Libraries; 3.3 Evaluation Methodology; 3.4 Results; 4 Discussion; References. Surface Triangular Mesh and Volume Tetrahedral Mesh Generations for Biomolecular Modeling1 Introduction; 2 Method; 2.1 Surface Triangular Mesh Generation; 2.1.1 Computing the Points on the Gaussian Surface; 2.1.2 Trace Step; 2.1.3 Polygonization; 2.2 Volume Tetrahedral Mesh Generation; 3 Results; 3.1 Performance; 3.2 Applications; 4 Conclusion; References; A Combined Level Set/Mesh Warping Algorithm for Tracking Brain and Cerebrospinal Fluid Evolution in Hydrocephalic Patients; 1 Introduction; 2 Generation of Dynamic Biomedical Computational Models and Simulations. 2.1 Generation of Image-Based Computational Models
Titelhinweis	Buchausg. u.d.T.ISBN: 978-94-007-4254-3
ISBN	ISBN 978-94-007-4255-0
	ISBN 1-280-99643-9 ebk
	ISBN 978-1-280-99643-6 MyiLibrary
Klassifikation	TGB
	TEC009070
	*68-06
	92-06
	65-06
	92C55
	68U05
	65D18
	65D07
	621
	TJ1-1570
Kurzbeschreibung	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.
SWB-Titel-Idn	373363680
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-94-007-4255-0
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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