Geometric Modeling and Mesh Generation from Scanned Images: 6 (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)

Book Details

• Author: Yongjie Jessica Zhang

• Brand: CRC Press

• Edition: 1

• Binding: Hardcover

• Format: Illustrated

• Number of Pages: 354

• Release Date: 27-04-2016

• ISBN: 9781482227765

• Package Dimensions: 9.5 x 6.4 x 0.8 inches

• Languages: English

About the Book

Geometric Modeling and Mesh Generation from Scanned Images provides a cutting-edge approach to analyze and predict complex physical phenomena through the integration of image processing, geometric modeling, and mesh generation. This text offers comprehensive coverage on how these techniques can be applied using the finite element method (FEM) to solve problems in computational biology, medicine, materials science, and engineering.

The book begins with an introduction to medical imaging, image processing, computational geometry, mesh generation, and finite element analysis (FEA). It presents advanced applications in various fields, offering insights into biomedical/material imaging and image-mesh-simulation pipelines. The book delves into several scanning techniques, as well as the theoretical foundation of geometric modeling and computer graphics.

Key highlights include:

• Two methods of isocontouring: marching cubes and dual contouring

• Techniques for triangular/tetrahedral and quadrilateral/hexahedral mesh generation

• Volumetric T-spline modeling for isogeometric analysis (IGA)

• Applications in computational biology, medicine, and engineering

The book is a must-read for researchers, graduate students, and engineers in fields such as aerospace, biomedical, civil, materials science, and mechanical engineering. It is especially beneficial to those involved in computational biology, where mesh generation is a critical challenge.

Review

Geometric Modeling and Mesh Generation from Scanned Images is an essential reference for both undergraduate and graduate students. The text offers an interdisciplinary approach, making it valuable to professionals in fields ranging from aerospace to bioengineering. Expert reviews highlight its comprehensive approach, providing a solid foundation for image-based engineering and mesh generation techniques critical to the finite element method.