ArticleFinite elements in analysis and design : the international journal of applied finite elements and computer aided engineering2011
Automated subject-specific, hexahedral mesh generation via image registration.
Article in Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A Spatial Interpolation Approach to Assign Magnetic Resonance Imaging-Derived Material Properties for Finite Element Models of Adeno-Associated Virus Infusion Into a Recurrent Brain Tumor.Journal of biomechanical engineering · 2024Article
- Sensitivity of the stress field of the proximal femur predicted by CT-based FE analysis to modeling uncertainties.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Subject-Specific Head Model Generation by Mesh Morphing: A Personalization Framework and Its Applications.Frontiers in bioengineering and biotechnology · 2021Article
- White Matter Anisotropy for Impact Simulation and Response Sampling in Traumatic Brain Injury.Journal of neurotrauma · 2019Article
- An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation.Biomechanics and modeling in mechanobiology · 2018Article
- An eFace-Template Method for Efficiently Generating Patient-Specific Anatomically-Detailed Facial Soft Tissue FE Models for Craniomaxillofacial Surgery Simulation.Annals of biomedical engineering · 2016Article
- Displacements prediction from 3D finite element model of maxillary protraction with and without rapid maxillary expansion in a patient with unilateral cleft palate and alveolus.Biomedical engineering online · 2015Article
- A Pre-computed Brain Response Atlas for Instantaneous Strain Estimation in Contact Sports.Annals of biomedical engineering · 2015Article
- Group-wise evaluation and comparison of white matter fiber strain and maximum principal strain in sports-related concussion.Journal of neurotrauma · 2015Article
- Parametric comparisons of intracranial mechanical responses from three validated finite element models of the human head.Annals of biomedical engineering · 2014Article
- Maximum principal strain and strain rate associated with concussion diagnosis correlates with changes in corpus callosum white matter indices.Annals of biomedical engineering · 2012Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Generating subject-specific, all-hexahedral meshes for finite element analysis continues to be of significant interest in biomechanical research communities. To date, most automated methods "morph" an existing atlas mesh to match with a subject anatomy, which usually result in degradation in mesh quality because of mesh distortion. We present an automated meshing technique that produces satisfactory mesh quality and accuracy without mesh repair. An atlas mesh is first developed using a script. A subject-specific mesh is generated with the same script after transforming the geometry into the atlas space following rigid image registration, and is transformed back into the subject space. By meshing the brain in 11 subjects, we demonstrate that the technique's performance is satisfactory in terms of both mesh quality (99.5% of elements had a scaled Jacobian >0.6 while <0.01% were between 0 and 0.2) and accuracy (average distance between mesh boundary and geometrical surface was 0.07 mm while <1% greater than 0.5mm). The combined computational cost for image registration and meshing was <4 min. Our results suggest that the technique is effective for generating subject-specific, all-hexahedral meshes and that it may be useful for meshing a variety of anatomical structures across different biomechanical research fields.
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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.