ArticleComputer methods in applied mechanics and engineering2010
An Automatic 3D Mesh Generation Method for Domains with Multiple Materials.
Article in Computer methods in applied mechanics and engineering, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Near real-time adaptive isotropic and anisotropic image-to-mesh conversion for cerebral aneurysm simulations.Engineering with computers · 2026Article
- Surface-based versus voxel-based finite element head models: comparative analyses of strain responses.Biomechanics and modeling in mechanobiology · 2025Article
- Image-to-mesh conversion method for multi-tissue medical image computing simulations.Engineering with computers · 2024Article
- Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.Frontiers in bioengineering and biotechnology · 2022Review
- Computed Tomography-Based Preoperative Simulation System for Pedicle Screw Fixation in Spinal Surgery.Journal of Korean medical science · 2020Article
- Review of heterogeneous material objects modeling in additive manufacturing.Visual computing for industry, biomedicine, and art · 2020Review
- An approach for patient-specific multi-domain vascular mesh generation featuring spatially varying wall thickness modeling.Journal of biomechanics · 2015Article
- 3D patient-specific model of the tibia from CT for orthopedic use.Journal of orthopaedics · 2015Article
- VolRoverN: enhancing surface and volumetric reconstruction for realistic dynamical simulation of cellular and subcellular function.Neuroinformatics · 2014Article
- Image-based modeling for better understanding and assessment of atherosclerotic plaque progression and vulnerability: data, modeling, validation, uncertainty and predictions.Journal of biomechanics · 2014Review
- Development of a finite element head model for the study of impact head injury.BioMed research international · 2014Article
- New software developments for quality mesh generation and optimization from biomedical imaging data.Computer methods and programs in biomedicine · 2014Article
- Lattice Cleaving: Conforming Tetrahedral Meshes of Multimaterial Domains with Bounded Quality.Proceedings. International Meshing Roundtable · 2013Article
- Quality Tetrahedral Mesh Smoothing via Boundary-Optimized Delaunay Triangulation.Computer aided geometric design · 2012Article
- An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation.Medical image analysis · 2012Article
- FEATURE-BASED MULTIBLOCK FINITE ELEMENT MESH GENERATION.Computer aided design · 2010Article
- Quality Multi-domain Meshing for Volumetric Data.Proceedings of the ... International Conference on Biomedical Engineering and Informatics. International Conference on Biomedical Engineering and Informatics · 2010Article
- Adaptive generation of multimaterial grids from imaging data for biomedical Lagrangian fluid-structure simulations.Biomechanics and modeling in mechanobiology · 2010Article
- SurfaceNets for Multi-Label Segmentations with Preservation of Sharp Boundaries.The Journal of computer graphics techniquesArticle
- Adaptive and Unstructured Mesh Cleaving.Procedia engineeringArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This paper describes an automatic and efficient approach to construct unstructured tetrahedral and hexahedral meshes for a composite domain made up of heterogeneous materials. The boundaries of these material regions form non-manifold surfaces. In earlier papers, we developed an octree-based isocontouring method to construct unstructured 3D meshes for a single-material (homogeneous) domain with manifold boundary. In this paper, we introduce the notion of a material change edge and use it to identify the interface between two or several different materials. A novel method to calculate the minimizer point for a cell shared by more than two materials is provided, which forms a non-manifold node on the boundary. We then mesh all the material regions simultaneously and automatically while conforming to their boundaries directly from volumetric data. Both material change edges and interior edges are analyzed to construct tetrahedral meshes, and interior grid points are analyzed for proper hexahedral mesh construction. Finally, edge-contraction and smoothing methods are used to improve the quality of tetrahedral meshes, and a combination of pillowing, geometric flow and optimization techniques is used for hexahedral mesh quality improvement. The shrink set of pillowing schemes is defined automatically as the boundary of each material region. Several application results of our multi-material mesh generation method are also provided.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.