Editors:
- Shows the current state-of-the-art of image-based modeling points out the future directions in the field of Mesh Generation
- Includes various novel algorithms developed to solve different problems
- Includes many interesting application examples
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 3)
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Table of contents (14 chapters)
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Front Matter
About this book
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, collectsthe 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.
Editors and Affiliations
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Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, USA
Yongjie (Jessica) Zhang
Bibliographic Information
Book Title: Image-Based Geometric Modeling and Mesh Generation
Editors: Yongjie (Jessica) Zhang
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-94-007-4255-0
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2013
Hardcover ISBN: 978-94-007-4254-3Published: 03 July 2012
Softcover ISBN: 978-94-017-7843-5Published: 23 August 2016
eBook ISBN: 978-94-007-4255-0Published: 03 July 2012
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: XI, 301
Topics: Mechanical Engineering, Computational Science and Engineering, Biomedical Engineering and Bioengineering